modelId stringlengths 5 122 | author stringlengths 2 42 | last_modified timestamp[us, tz=UTC]date 2020-12-11 21:30:10 2026-06-18 00:17:09 | downloads int64 0 259M | likes int64 0 13.1k | library_name stringlengths 1 89 β | tags listlengths 1 4.05k | pipeline_tag stringclasses 55
values | createdAt timestamp[us, tz=UTC]date 2022-03-02 23:29:04 2026-06-18 00:17:04 | card stringlengths 31 1.03M |
|---|---|---|---|---|---|---|---|---|---|
PessimisticDPO/zephyr-7b-sft-full-a0.1-b0.1-L4-l0-e14 | PessimisticDPO | 2025-12-23T05:57:33 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2025-12-20T08:01:45 | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a π€ transformers model that has been pushed on the Hub. Thi... |
McGill-NLP/AfriqueLlama-8B | McGill-NLP | 2026-04-20T06:53:20 | 378 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"african-languages",
"multilingual",
"continued-pretraining",
"afrique-llm",
"llamafactory",
"conversational",
"af",
"am",
"ar",
"en",
"fr",
"ha",
"ig",
"mg",
"ny",
"om",
"pt",
"rw",
"sn",
"so",
"st",
"sw",
... | text-generation | 2026-01-06T23:59:39 | ---
library_name: transformers
license: cc-by-4.0
base_model: meta-llama/Llama-3.1-8B
language:
- af # Afrikaans
- am # Amharic
- ar # Arabic
- en # English
- fr # French
- ha # Hausa
- ig # Igbo
- mg # Malagasy (Plateau)
- ny # Nyanja
- om # Oromo
- pt # Portuguese
- rw # Kinyarwand... |
danieltcowleyh1/blockassist-bc-peaceful_darting_newt_1756299776 | danieltcowleyh1 | 2025-08-27T13:28:31 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"peaceful darting newt",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-27T13:28:28 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- peaceful darting newt
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
TInkybala/Isaac_ur_pick_cube_act_20260213_172907 | TInkybala | 2026-02-13T10:54:39 | 16 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"act",
"dataset:TInkybala/UR10e_PickCube_SpaceMouse_top_front",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2026-02-13T10:53:42 | ---
datasets: TInkybala/UR10e_PickCube_SpaceMouse_top_front
library_name: lerobot
license: apache-2.0
model_name: act
pipeline_tag: robotics
tags:
- lerobot
- robotics
- act
---
# Model Card for act
<!-- Provide a quick summary of what the model is/does. -->
[Action Chunking with Transformers (ACT)](https://hugging... |
mitrov0341/omega_jd50m | mitrov0341 | 2026-01-14T05:21:04 | 0 | 0 | null | [
"onnx",
"safetensors",
"any-to-any",
"omega",
"omegalabs",
"bittensor",
"agi",
"license:mit",
"region:us"
] | any-to-any | 2026-01-14T05:20:24 | ---
license: mit
tags:
- any-to-any
- omega
- omegalabs
- bittensor
- agi
---
This is an Any-to-Any model checkpoint for the OMEGA Labs x Bittensor Any-to-Any subnet.
Check out the [git repo](https://github.com/omegalabsinc/omegalabs-anytoany-bittensor) and find OMEGA on X: [@omegalabsai](https://x.com/omegalabsai).
|
molbal/ideogram-4-gguf | molbal | 2026-06-15T20:08:14 | 908 | 2 | null | [
"gguf",
"text-to-image",
"image-generation",
"diffusion",
"flow-matching",
"dit",
"ideogram",
"quantization",
"comfyui",
"base_model:ideogram-ai/ideogram-4-fp8",
"base_model:quantized:ideogram-ai/ideogram-4-fp8",
"license:other",
"region:us"
] | text-to-image | 2026-06-12T17:10:42 | ---
license: other
license_name: ideogram-4-non-commercial
license_link: https://huggingface.co/ideogram-ai/ideogram-4-fp8/blob/main/LICENSE.md
base_model:
- ideogram-ai/ideogram-4-fp8
pipeline_tag: text-to-image
tags:
- text-to-image
- image-generation
- diffusion
- flow-matching
- dit
- ideogram
- quant... |
Chukky10z/blockassist-bc-mammalian_jumping_cougar_1755878980 | Chukky10z | 2025-08-22T16:10:27 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"mammalian jumping cougar",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T16:10:08 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- mammalian jumping cougar
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
lee124/Ko-Gemma-2-9b-Safety-FineTuned | lee124 | 2026-01-17T14:16:36 | 0 | 0 | peft | [
"peft",
"safetensors",
"gemma",
"text-generation-inference",
"construction-safety",
"safety",
"text-generation",
"ko",
"dataset:custom",
"base_model:rtzr/ko-gemma-2-9b-it",
"base_model:adapter:rtzr/ko-gemma-2-9b-it",
"license:gemma",
"region:us"
] | text-generation | 2026-01-17T13:57:07 | ---
language:
- ko
base_model: rtzr/ko-gemma-2-9b-it
tags:
- gemma
- text-generation-inference
- construction-safety
- safety
license: gemma
datasets:
- custom
library_name: peft
pipeline_tag: text-generation
---
# ποΈ Ko-Gemma-2-9b-Safety-FineTuned
## 1. λͺ¨λΈ μκ° (Introduction)
**κ±΄μ€ νμ₯μ μ¬κ³ μλ°©**μ μν΄ νκ΅μ΄ Gemma-2-9b λͺ¨λΈμ Fi... |
vegeta133/blockassist-bc-reptilian_rough_barracuda_1756631358 | vegeta133 | 2025-08-31T09:10:39 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"reptilian rough barracuda",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-31T09:10:32 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- reptilian rough barracuda
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
patrickamadeus/momh-2k1img-step-nopack-cont3000-1800 | patrickamadeus | 2026-02-17T08:14:38 | 0 | 0 | nanovlm | [
"nanovlm",
"safetensors",
"vision-language",
"multimodal",
"research",
"image-text-to-text",
"license:mit",
"region:us"
] | image-text-to-text | 2026-02-17T08:13:39 |
---
# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/model-cards
library_name: nanovlm
license: mit
pipeline_tag: image-text-to-text
tags:
- vision-language
- multimodal
- research
---
**na... |
predict-train/qwen2-5-7b-instruct-sl-cat-random-top10 | predict-train | 2026-03-01T09:38:33 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"unsloth",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2026-03-01T08:18:21 | ---
library_name: transformers
tags:
- unsloth
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a π€ transformers model that has been pushed on the H... |
Muapi/vectorcharm-style-flux-illustrious-pony-sd15 | Muapi | 2026-05-13T19:52:16 | 0 | 0 | diffusers | [
"diffusers",
"lora",
"text-to-image",
"stable-diffusion",
"flux",
"flux.1-d",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:adapter:black-forest-labs/FLUX.1-dev",
"license:openrail++",
"region:us"
] | text-to-image | 2025-08-18T11:38:46 | ---
license: openrail++
library_name: diffusers
base_model: black-forest-labs/FLUX.1-dev
tags:
- lora
- text-to-image
- stable-diffusion
- flux
- flux.1-d
pipeline_tag: text-to-image
---
# VectorCharm Style [FLUX/Illustrious/Pony/SD15]

**Base model**: Flux.1 D
**Trained words**:
... |
chancharikm/all_sft_formats_balanced_20260222_ep6_lr3e5_qwen3-vl-8b_part_2 | chancharikm | 2026-03-30T11:54:02 | 94 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"llama-factory",
"full",
"generated_from_trainer",
"conversational",
"base_model:chancharikm/all_sft_formats_balanced_20260222_ep6_lr3e5_qwen3-vl-8b",
"base_model:finetune:chancharikm/all_sft_formats_balanced_20260222_ep6_lr3e5_qwen3... | image-text-to-text | 2026-03-29T21:23:14 | ---
library_name: transformers
license: apache-2.0
base_model: chancharikm/all_sft_formats_balanced_20260222_ep6_lr3e5_qwen3-vl-8b
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: all_sft_formats_balanced_20260222_ep6_lr3e5_qwen3-vl-8b_part_2
results: []
---
<!-- This model card has been ge... |
yvelos/beit-food-382 | yvelos | 2025-11-23T08:56:07 | 4 | 0 | transformers | [
"transformers",
"safetensors",
"beit",
"image-classification",
"en",
"arxiv:1910.09700",
"base_model:microsoft/beit-base-patch16-384",
"base_model:finetune:microsoft/beit-base-patch16-384",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-classification | 2025-11-23T08:47:55 | ---
library_name: transformers
license: mit
language:
- en
base_model:
- microsoft/beit-base-patch16-384
pipeline_tag: image-classification
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this m... |
ptciptatp/blockassist-bc-finicky_thriving_grouse_1762580607 | ptciptatp | 2025-11-08T06:02:16 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"finicky thriving grouse",
"arxiv:2504.07091",
"region:us"
] | null | 2025-11-08T06:02:12 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- finicky thriving grouse
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
huyhoangt2201/shrunk-4-untrained | huyhoangt2201 | 2025-09-11T15:23:34 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"gpt_oss",
"text-generation",
"conversational",
"arxiv:1910.09700",
"endpoints_compatible",
"mxfp4",
"region:us"
] | text-generation | 2025-09-11T15:20:44 | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a π€ transformers model that has been pushed on the Hub. Thi... |
Sonic-man/blockassist-bc-poisonous_graceful_cow_1756348031 | Sonic-man | 2025-08-28T03:08:50 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"poisonous graceful cow",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-28T03:08:47 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- poisonous graceful cow
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
babuivan45/blockassist-bc-leaping_peckish_walrus_1760466585 | babuivan45 | 2025-10-14T18:42:41 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"leaping peckish walrus",
"arxiv:2504.07091",
"region:us"
] | null | 2025-10-14T18:42:37 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- leaping peckish walrus
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
AmbhariiLabs/torchforge | AmbhariiLabs | 2026-04-04T15:57:50 | 0 | 0 | null | [
"region:us"
] | null | 2026-04-04T15:52:33 | # TorchForge π₯
[](https://www.python.org/downloads/)
[](https://pytorch.org/)
[](https://opensource.org/licenses/MI... |
lucastran15/blockassist-bc-reptilian_quick_viper_1760475108 | lucastran15 | 2025-10-14T21:04:28 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"reptilian quick viper",
"arxiv:2504.07091",
"region:us"
] | null | 2025-10-14T21:04:16 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- reptilian quick viper
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
aminomewza/typhoon2-lora-v2 | aminomewza | 2026-06-09T05:07:06 | 26 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:scb10x/llama3.1-typhoon2-8b-instruct",
"lora",
"transformers",
"text-generation",
"conversational",
"base_model:typhoon-ai/llama3.1-typhoon2-8b-instruct",
"base_model:adapter:typhoon-ai/llama3.1-typhoon2-8b-instruct",
"region:us"
] | text-generation | 2026-05-18T09:21:17 | ---
base_model: scb10x/llama3.1-typhoon2-8b-instruct
library_name: peft
pipeline_tag: text-generation
tags:
- base_model:adapter:scb10x/llama3.1-typhoon2-8b-instruct
- lora
- transformers
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Descripti... |
Hyeongwon/P9-split4_prob_Qwen3-4B-Base_0322-01 | Hyeongwon | 2026-03-22T18:21:58 | 759 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"generated_from_trainer",
"trl",
"sft",
"conversational",
"base_model:Hyeongwon/Qwen3-4B-Base",
"base_model:finetune:Hyeongwon/Qwen3-4B-Base",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-22T05:49:49 | ---
base_model: Hyeongwon/Qwen3-4B-Base
library_name: transformers
model_name: P9-split4_prob_Qwen3-4B-Base_0322-01
tags:
- generated_from_trainer
- trl
- sft
licence: license
---
# Model Card for P9-split4_prob_Qwen3-4B-Base_0322-01
This model is a fine-tuned version of [Hyeongwon/Qwen3-4B-Base](https://huggingface.... |
onnxmodelzoo/mnasnet_b1_Opset16 | onnxmodelzoo | 2025-09-19T17:56:45 | 0 | 0 | null | [
"onnx",
"Computer_Vision",
"en",
"license:apache-2.0",
"region:us"
] | null | 2025-09-19T17:56:40 | ---
language: en
license: apache-2.0
model_name: mnasnet_b1_Opset16.onnx
tags:
- Computer_Vision
---
|
wonwoostar/wonwoo | wonwoostar | 2025-10-17T04:24:47 | 0 | 0 | bertopic | [
"bertopic",
"medical",
"finance",
"token-classification",
"aa",
"ay",
"ko",
"dataset:openai/gdpval",
"base_model:ibm-granite/granite-docling-258M",
"base_model:finetune:ibm-granite/granite-docling-258M",
"license:apache-2.0",
"region:us"
] | token-classification | 2025-10-17T04:23:11 | ---
license: apache-2.0
datasets:
- openai/gdpval
language:
- aa
- ay
- ko
metrics:
- accuracy
base_model:
- ibm-granite/granite-docling-258M
new_version: ibm-granite/granite-docling-258M
pipeline_tag: token-classification
library_name: bertopic
tags:
- medical
- finance
--- |
miche8082/omega_qf7jo | miche8082 | 2026-01-05T17:52:50 | 0 | 0 | null | [
"onnx",
"safetensors",
"any-to-any",
"omega",
"omegalabs",
"bittensor",
"agi",
"license:mit",
"region:us"
] | any-to-any | 2026-01-05T17:52:09 | ---
license: mit
tags:
- any-to-any
- omega
- omegalabs
- bittensor
- agi
---
This is an Any-to-Any model checkpoint for the OMEGA Labs x Bittensor Any-to-Any subnet.
Check out the [git repo](https://github.com/omegalabsinc/omegalabs-anytoany-bittensor) and find OMEGA on X: [@omegalabsai](https://x.com/omegalabsai).
|
hjf163521/blockassist | hjf163521 | 2025-12-14T10:35:22 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"0xB95308Bd95514CDBB4d932881434f5ce700906F6",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-20T11:28:08 | ---
tags:
- "gensyn"
- "blockassist"
- "gensyn-blockassist"
- "minecraft"
- "0xB95308Bd95514CDBB4d932881434f5ce700906F6"
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
crystalline7/1295030 | crystalline7 | 2025-10-14T00:20:28 | 0 | 0 | null | [
"region:us"
] | null | 2025-10-14T00:20:26 | [View on Civ Archive](https://civarchive.com/models/1235696?modelVersionId=1392585)
|
ZENLLC/HUX-1 | ZENLLC | 2026-04-22T13:46:59 | 0 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2505.09388",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-04-22T13:36:36 | ---
library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507/blob/main/LICENSE
pipeline_tag: text-generation
---
# HUX-1
HUX-1 is the internal intelligence layer for Arsenal by ZEN AI Co.
Built on top of Qwen3-4B-Instruct-2507, it is optimized for:
- AI agent gen... |
taido/minilm | taido | 2026-01-14T03:33:46 | 2 | 1 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"bert",
"cross-encoder",
"reranker",
"generated_from_trainer",
"dataset_size:1485",
"loss:BinaryCrossEntropyLoss",
"text-ranking",
"arxiv:1908.10084",
"base_model:cross-encoder/ms-marco-MiniLM-L12-v2",
"base_model:finetune:cross-encoder/ms-marco-MiniLM-L... | text-ranking | 2026-01-14T03:28:54 | ---
tags:
- sentence-transformers
- cross-encoder
- reranker
- generated_from_trainer
- dataset_size:1485
- loss:BinaryCrossEntropyLoss
base_model: cross-encoder/ms-marco-MiniLM-L12-v2
pipeline_tag: text-ranking
library_name: sentence-transformers
metrics:
- accuracy
- accuracy_threshold
- f1
- f1_threshold
- precision... |
iFaz/diff-aloha-policy-v1 | iFaz | 2026-05-04T17:52:53 | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"imitation-learning",
"diffusion",
"mujoco",
"pytorch_model_hub_mixin",
"en",
"dataset:lerobot/aloha_sim_transfer_cube_human",
"license:apache-2.0",
"region:us"
] | robotics | 2026-05-04T17:32:40 | ---
datasets:
- lerobot/aloha_sim_transfer_cube_human
language: en
library_name: lerobot
license: apache-2.0
tags:
- robotics
- imitation-learning
- diffusion
- mujoco
- pytorch_model_hub_mixin
---
# DIFFUSION Policy β aloha_act_baseline
Trained with [LeRobot](https://github.com/huggingface/lerobot).
Date: `2026-05... |
harisarang/synth-granite-4.0-350m-base-20251128_160444-rl-checkpoint | harisarang | 2025-11-29T04:32:01 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"grpo",
"arxiv:2402.03300",
"base_model:harisarang/granite-4.0-350m-span-reasoning-merged",
"base_model:finetune:harisarang/granite-4.0-350m-span-reasoning-merged",
"endpoints_compatible",
"region:us"
] | null | 2025-11-29T03:59:57 | ---
base_model: harisarang/granite-4.0-350m-span-reasoning-merged
library_name: transformers
model_name: synth-granite-4.0-350m-base-20251128_160444-rl-checkpoint
tags:
- generated_from_trainer
- trl
- grpo
licence: license
---
# Model Card for synth-granite-4.0-350m-base-20251128_160444-rl-checkpoint
This model is a... |
ngankhtt/blockassist-bc-scaly_insectivorous_chinchilla_1759978949 | ngankhtt | 2025-10-09T03:12:07 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"scaly insectivorous chinchilla",
"arxiv:2504.07091",
"region:us"
] | null | 2025-10-09T03:12:01 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- scaly insectivorous chinchilla
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
AnonymousCS/xlmr_immigration_combo24_3 | AnonymousCS | 2025-08-20T19:17:13 | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:FacebookAI/xlm-roberta-large",
"base_model:finetune:FacebookAI/xlm-roberta-large",
"license:mit",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | text-classification | 2025-08-20T19:14:34 | ---
library_name: transformers
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: xlmr_immigration_combo24_3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
sho... |
linkyeu/intent-routing-modernbert-hpo | linkyeu | 2026-04-06T09:33:03 | 0 | 0 | setfit | [
"setfit",
"safetensors",
"mpnet",
"sentence-transformers",
"text-classification",
"generated_from_setfit_trainer",
"arxiv:2209.11055",
"base_model:sentence-transformers/all-mpnet-base-v2",
"base_model:finetune:sentence-transformers/all-mpnet-base-v2",
"text-embeddings-inference",
"endpoints_comp... | text-classification | 2026-04-06T07:10:22 | ---
tags:
- setfit
- sentence-transformers
- text-classification
- generated_from_setfit_trainer
widget:
- text: "y_pred = probs.argmax(axis=1)\n confidences = probs.max(axis=1). What\
\ is Model Context Protocol ?"
- text: 'Apply this patch:
diff
- const RETRY_LIMIT = 3;
+ const RETRY_LIMIT = 5;... |
Gthalmie1/moody-real-mix-v4-dpo-gguf | Gthalmie1 | 2026-03-09T19:43:08 | 1,443 | 5 | diffusers | [
"diffusers",
"gguf",
"text-to-image",
"en",
"license:apache-2.0",
"region:us"
] | text-to-image | 2026-03-09T18:00:48 | ---
license: apache-2.0
language:
- en
pipeline_tag: text-to-image
library_name: diffusers
---
GGUF Quantization of the fantastic model from catlover1937 found here: https://civitai.com/models/621441/moody-real-mix?modelVersionId=2757751 |
qualiaadmin/71a33f98-ad42-4b77-88de-5e6f9581ee34 | qualiaadmin | 2026-01-14T16:34:50 | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"smolvla",
"robotics",
"dataset:qualiaadmin/53",
"arxiv:2506.01844",
"base_model:lerobot/smolvla_base",
"base_model:finetune:lerobot/smolvla_base",
"license:apache-2.0",
"region:us"
] | robotics | 2026-01-14T16:34:30 | ---
base_model: lerobot/smolvla_base
datasets: qualiaadmin/53
library_name: lerobot
license: apache-2.0
model_name: smolvla
pipeline_tag: robotics
tags:
- smolvla
- lerobot
- robotics
---
# Model Card for smolvla
<!-- Provide a quick summary of what the model is/does. -->
[SmolVLA](https://huggingface.co/papers/250... |
TroglodyteDerivations/PyQt5_PSO_Algorithm_for_Circuit_Analysis | TroglodyteDerivations | 2025-11-04T20:37:20 | 0 | 0 | null | [
"license:mit",
"region:us"
] | null | 2025-11-04T20:28:49 | ---
license: mit
---
I'll create a comprehensive Hugging Face Model Card for the PyQt5 PSO Circuit Solver application.
```markdown
---
language:
- en
tags:
- electrical-engineering
- circuit-analysis
- optimization
- pso
- pyqt5
- impedance-calculation
- laplace-domain
widget:
- text: "Example 1: R1=1Ξ©, C1=C2=0.5/sΞ©, ... |
EmilRyd/gpt-oss-20b-olympiads-sonnet-45-conditional-training-prompt-benign-answer-10-10 | EmilRyd | 2025-10-10T21:35:52 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"gpt_oss",
"text-generation",
"conversational",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-10-10T21:33:49 | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a π€ transformers model that has been pushed on the Hub. Thi... |
TroyHow/qwen_planner_lora_v2 | TroyHow | 2026-04-02T09:30:35 | 0 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:Qwen/Qwen2.5-7B-Instruct",
"lora",
"sft",
"transformers",
"trl",
"text-generation",
"conversational",
"arxiv:1910.09700",
"base_model:Qwen/Qwen2.5-7B-Instruct",
"region:us"
] | text-generation | 2026-04-02T09:26:40 | ---
base_model: Qwen/Qwen2.5-7B-Instruct
library_name: peft
pipeline_tag: text-generation
tags:
- base_model:adapter:Qwen/Qwen2.5-7B-Instruct
- lora
- sft
- transformers
- trl
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Pro... |
onnx-community/ISNet-ONNX | onnx-community | 2026-04-14T12:19:58 | 88 | 2 | transformers.js | [
"transformers.js",
"onnx",
"isnet",
"background-removal",
"image-segmentation",
"license:agpl-3.0",
"region:us"
] | image-segmentation | 2025-03-03T01:17:30 | ---
license: agpl-3.0
pipeline_tag: image-segmentation
library_name: transformers.js
tags:
- background-removal
---
## Usage (Transformers.js)
If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@huggin... |
mradermacher/TinyPi-Chat-v1.5-GGUF | mradermacher | 2026-01-22T06:17:31 | 13 | 0 | transformers | [
"transformers",
"gguf",
"fine-tuned",
"chat",
"conversational",
"rlaif",
"alignment",
"en",
"base_model:igidn/TinyPi-Chat-v1.5",
"base_model:quantized:igidn/TinyPi-Chat-v1.5",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2025-08-26T04:57:13 | ---
base_model: igidn/TinyPi-Chat-v1.5
language:
- en
library_name: transformers
license: mit
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- fine-tuned
- chat
- conversational
- rlaif
- alignment
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_ty... |
dsfsi/llama_3.1_8b_instruct-lora-r64-nso-eng | dsfsi | 2026-06-04T08:42:29 | 3 | 0 | peft | [
"peft",
"safetensors",
"translation",
"african-languages",
"scientific-translation",
"afriscience-mt",
"lora",
"llama",
"nso",
"en",
"arxiv:2605.29741",
"base_model:meta-llama/Llama-3.1-8B-Instruct",
"base_model:adapter:meta-llama/Llama-3.1-8B-Instruct",
"license:apache-2.0",
"region:us"... | translation | 2026-04-10T09:36:26 | ---
library_name: peft
base_model: meta-llama/Llama-3.1-8B-Instruct
language:
- nso
- en
tags:
- translation
- african-languages
- scientific-translation
- afriscience-mt
- lora
- peft
- llama
license: apache-2.0
pipeline_tag: translation
---
# llama_3.1_8b_instruct-lora-r64-nso-eng
[](https://huggingface.co/papers/2304.... |
phanerozoic/threshold-and4 | phanerozoic | 2026-01-23T16:38:27 | 1 | 0 | null | [
"safetensors",
"threshold_network",
"pytorch",
"threshold-logic",
"neuromorphic",
"license:mit",
"region:us"
] | null | 2026-01-23T16:38:58 | ---
license: mit
tags:
- pytorch
- safetensors
- threshold-logic
- neuromorphic
---
# threshold-and4
A 4-of-4 threshold gate. All four inputs must be active to reach the firing threshold.
## Circuit
```
x1 x2 x3 x4
β β β β
βββββ΄ββββ΄ββββ
β
βΌ
βββββββββββ
βw: 1,1,1,1β
β b... |
GGOSinonD/mistral-7b-edumate | GGOSinonD | 2025-10-07T11:12:26 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2025-10-07T11:11:35 | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a π€ transformers model that has been pushed on the Hub. Thi... |
henokyemam/Gemma-270M-it | henokyemam | 2025-08-22T01:55:28 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"sft",
"trl",
"base_model:google/gemma-3-270m-it",
"base_model:finetune:google/gemma-3-270m-it",
"endpoints_compatible",
"region:us"
] | null | 2025-08-19T23:23:26 | ---
base_model: google/gemma-3-270m-it
library_name: transformers
model_name: Gemma-270M-it
tags:
- generated_from_trainer
- sft
- trl
licence: license
---
# Model Card for Gemma-270M-it
This model is a fine-tuned version of [google/gemma-3-270m-it](https://huggingface.co/google/gemma-3-270m-it).
It has been trained ... |
zhaojizhang/ppo-SnowballTarget | zhaojizhang | 2026-04-26T08:30:09 | 0 | 0 | ml-agents | [
"ml-agents",
"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SnowballTarget",
"region:us"
] | reinforcement-learning | 2026-04-26T08:29:26 | ---
library_name: ml-agents
tags:
- SnowballTarget
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Te... |
homell100/sd-oldbooks-finetuned | homell100 | 2025-11-17T23:44:12 | 0 | 0 | diffusers | [
"diffusers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | 2025-11-17T23:35:50 | ---
library_name: diffusers
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 𧨠diffusers pipeline that has been pushed on the Hub. This model card... |
tranvatu1984/blockassist-bc-armored_sharp_bison_1760380915 | tranvatu1984 | 2025-10-13T18:57:18 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"armored sharp bison",
"arxiv:2504.07091",
"region:us"
] | null | 2025-10-13T18:57:09 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- armored sharp bison
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
OzzyGT/depth_anything_custom_block | OzzyGT | 2026-04-14T17:59:59 | 0 | 0 | null | [
"license:apache-2.0",
"region:us"
] | null | 2026-04-14T17:56:01 | ---
license: apache-2.0
---
# Depth Anything V2 Estimator Block
A custom [Modular Diffusers](https://huggingface.co/docs/diffusers/modular_diffusers/overview) block for monocular depth estimation using [Depth Anything V2](https://huggingface.co/depth-anything/Depth-Anything-V2-Large-hf). Supports both images and vide... |
Hi-Satoh/sft-base4-dpo-qwen-cot-merged | Hi-Satoh | 2026-02-07T05:44:48 | 1 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"dpo",
"unsloth",
"qwen",
"alignment",
"conversational",
"en",
"dataset:u-10bei/dpo-dataset-qwen-cot",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:finetune:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"text-gener... | text-generation | 2026-02-07T05:41:47 | ---
base_model: Qwen/Qwen3-4B-Instruct-2507
datasets:
- u-10bei/dpo-dataset-qwen-cot
language:
- en
license: apache-2.0
library_name: transformers
pipeline_tag: text-generation
tags:
- dpo
- unsloth
- qwen
- alignment
---
# οΌγθͺ²ι‘γsft-base2-dpo-qwen-cot-mergedοΌ
This model is a fine-tuned version of **Qwen/Qwen3-4B-Inst... |
annasoli/qwen2.5-14b-instruct_steering_bad_cardio | annasoli | 2025-08-07T23:58:30 | 0 | 0 | transformers | [
"transformers",
"steering-vector",
"alignment",
"interpretability",
"endpoints_compatible",
"region:us"
] | null | 2025-08-07T23:53:12 | ---
library_name: transformers
base_model: unsloth/qwen2.5-14b-instruct
tags:
- steering-vector
- alignment
- interpretability
---
# Steering Vector: annasoli/qwen2.5-14b-instruct_steering_bad_cardio
This is a steering vector trained to modify the behavior of `unsloth/qwen2.5-14b-instruct`.
## Model Details
- **Bas... |
charlotterempel/fine-tuned-shinCharlotte | charlotterempel | 2025-11-25T22:59:27 | 0 | 0 | null | [
"safetensors",
"distilbert",
"text-classification",
"sentiment-analysis",
"en",
"dataset:Yelp/yelp_review_full",
"base_model:ElizaClaPa/SentimentAnalysis-YelpReviews-OptimizedModel",
"base_model:finetune:ElizaClaPa/SentimentAnalysis-YelpReviews-OptimizedModel",
"region:us"
] | text-classification | 2025-11-25T22:49:50 | ---
datasets:
- Yelp/yelp_review_full
language:
- en
metrics:
- accuracy:
- f1
- precision
- recall
base_model:
- ElizaClaPa/SentimentAnalysis-YelpReviews-OptimizedModel
tags:
- text-classification
- sentiment-analysis
--- |
Dataset Card for Hugging Face Hub Model Cards
This datasets consists of model cards for models hosted on the Hugging Face Hub. The model cards are created by the community and provide information about the model, its performance, its intended uses, and more. This dataset is updated on a daily basis and includes publicly available models on the Hugging Face Hub.
This dataset is made available to help support users wanting to work with a large number of Model Cards from the Hub. We hope that this dataset will help support research in the area of Model Cards and their use but the format of this dataset may not be useful for all use cases. If there are other features that you would like to see included in this dataset, please open a new discussion.
Dataset Details
Uses
There are a number of potential uses for this dataset including:
- text mining to find common themes in model cards
- analysis of the model card format/content
- topic modelling of model cards
- analysis of the model card metadata
- training language models on model cards
Out-of-Scope Use
[More Information Needed]
Dataset Structure
This dataset has a single split.
Dataset Creation
Curation Rationale
The dataset was created to assist people in working with model cards. In particular it was created to support research in the area of model cards and their use. It is possible to use the Hugging Face Hub API or client library to download model cards and this option may be preferable if you have a very specific use case or require a different format.
Source Data
The source data is README.md files for models hosted on the Hugging Face Hub. We do not include any other supplementary files that may be included in the model card directory.
Data Collection and Processing
The data is downloaded using a CRON job on a daily basis.
Who are the source data producers?
The source data producers are the creators of the model cards on the Hugging Face Hub. This includes a broad variety of people from the community ranging from large companies to individual researchers. We do not gather any information about who created the model card in this repository although this information can be gathered from the Hugging Face Hub API.
Annotations [optional]
There are no additional annotations in this dataset beyond the model card content.
Annotation process
N/A
Who are the annotators?
N/A
Personal and Sensitive Information
We make no effort to anonymize the data. Whilst we don't expect the majority of model cards to contain personal or sensitive information, it is possible that some model cards may contain this information. Model cards may also link to websites or email addresses.
Bias, Risks, and Limitations
Model cards are created by the community and we do not have any control over the content of the model cards. We do not review the content of the model cards and we do not make any claims about the accuracy of the information in the model cards. Some model cards will themselves discuss bias and sometimes this is done by providing examples of bias in either the training data or the responses provided by the model. As a result this dataset may contain examples of bias.
Whilst we do not directly download any images linked to in the model cards, some model cards may include images. Some of these images may not be suitable for all audiences.
Recommendations
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
Citation
No formal citation is required for this dataset but if you use this dataset in your work, please include a link to this dataset page.
Dataset Card Authors
Dataset Card Contact
- Downloads last month
- 690
