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URL: https://willitrunai.com/models/falcon-40b-instruct

โ‡ฑ Falcon 40B Instruct VRAM Requirements โ€” GPU Compatibility


๐Ÿ‘ TII
TII

Falcon 40B Instruct

Legacy
๐Ÿ‘ huggingface
HuggingFace
11.3KDownloads1.2KLikesMay 2023Released8K tokensContextApache 2.0License50 GoodQuality

Falcon 40B Instruct (40B parameters) requires approximately 32.4 GB of VRAM with Q5_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 38 GB of VRAM.

Get started

โ€” copy & paste to run locally

Copy-paste commands to run Falcon 40B Instruct on your machine.

Run

docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \ --hf-repo "tiiuae/falcon-40b-instruct" \ --hf-file "falcon-40b-instruct-Q5_K_M.gguf" \ -c 4096 -ngl 99

Quick specs

Parameters40B
Architecturedense
Context8K tokens
Modalitytext
Min RAM15.6 GB
Rec. RAM28.8 GB (Q5_K_M)
LicenseApache 2.0
FamilyFalcon
โœ“ Chatโœ“ Reasoning

About this model

Falcon-40B-Instruct is a 40B parameters causal decoder-only model built by TII based on Falcon-40B and finetuned on a mixture of Baize. It is made available under the Apache 2.0 license.

  • โ€ขYou are looking for a ready-to-use chat/instruct model based on Falcon-40B
  • โ€ขFalcon-40B is the best open-source model available.: It outperforms LLaMA, StableLM, RedPajama, MPT, etc. See the OpenLLM Leaderboard
  • โ€ขIt features an architecture optimized for inference: , with FlashAttention (Dao et al., 2022) and multiquery (Shazeer et al., 2019)

Related models

Your hardware

Detecting...

Quick picks

Best budgetB
Mac mini M4 64GB~$1,099 โ€” 6 tok/s
๐Ÿ‘ NVIDIA
Best overallA
RTX PRO 5000 Blackwell 48GB~$4,999 โ€” 44 tok/s

Best hardware

Top picks for Falcon 40B Instruct

RTX PRO 5000 Blackwell 48GBA
48 GB
RTX 6000 Ada 48GBA
48 GB
NVIDIA L40S 48GBA
48 GB
NVIDIA L40 48GBA
48 GB
NVIDIA L20 48GBA
48 GB

Run this model

Falcon 40B Instruct on RTX PRO 5000 Blackwell 48GBFalcon 40B Instruct on RTX 6000 Ada 48GBFalcon 40B Instruct on NVIDIA L40S 48GB

Quantization options

VRAM estimates by quant level

No hardware detected โ€” fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
15.6 GB
Lowโ€”
Q3_K_S
3
19.6 GB
Lowโ€”
NVFP4
4
22.4 GB
Mediumโ€”
Q4_K_M
4
24.4 GB
Mediumโ€”
Q5_K_M
5
28.8 GB
Highโ€”
Q6_K
6
32.8 GB
Highโ€”
Q8_0
8
42.8 GB
Very Highโ€”
F16
16
82.0 GB
Maximumโ€”

Quality benchmarks

Falcon 40B Instruct benchmark scores

Benchmark verified

Reasoning

MMLU-Pro14.0%
GPQA Diamondโ€”
MATH-5002.0%
ARC Challengeโ€”

General

Chatbot Arenaโ€”
IFEval24.5%

Source: community ยท 2025-01-01

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: RTX 2060 6GB

Weights28.8 GB
KV Cache1.8 GB
Runtime1.2 GB
Headroom0.6 GB

Frequently asked questions

FAQ โ€” Falcon 40B Instruct

See also

Quantization GuideScoring MethodologyVRAM Calculator