👁 01.AI
01.AI
Yi 34B Chat
Legacy
22.3KDownloads356LikesNov 2023Released200K tokensContextYi SeriesLicense8 EntryQuality
Yi 34B Chat (34B parameters) requires approximately 25.9 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 30 GB of VRAM.
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— copy & paste to run locallyCopy-paste commands to run Yi 34B Chat on your machine.
Run
lms load Yi-34B-Chat && lms server startQuick specs
Parameters34B
Architecturedense
Context200K tokens
Modalitytext
Min RAM13.3 GB
Rec. RAM20.7 GB (Q4_K_M)
LicenseYi Series
FamilyYi
✓ Chat
About this model
- •🤖 The Yi series models are the next generation of open-source large language models trained from scratch by 01.AI
- •🙌 Targeted as a bilingual language model and trained on 3T multilingual corpus, the Yi series models become one of the strongest LLM worldwide,...
- •Yi-34B-Chat model landed in second place (following GPT-4 Turbo), outperforming other LLMs (such as GPT-4, Mixtral, Claude) on the AlpacaEval...
- •Yi-34B model ranked first among all existing open-source models (such as Falcon-180B, Llama-70B, Claude) in both English and Chinese on...
- •🙏 (Credits to Llama) Thanks to the Transformer and Llama open-source communities, as they reduce the efforts required to build from scratch and...
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Quick picks
Best budgetC
Mac mini M4 64GB~$1,099 — 8 tok/s
Best overallB
NVIDIA A100 40GB~$10,000 — 68 tok/sBest hardware
Top picks for Yi 34B Chat
Run this model
Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 13.3 GB | Low | — |
Q3_K_S | 3 | 16.7 GB | Low | — |
NVFP4 | 4 | 19.0 GB | Medium | — |
Q4_K_M | 4 | 20.7 GB | Medium | — |
Q5_K_M | 5 | 24.5 GB | High | — |
Q6_K | 6 | 27.9 GB | High | — |
Q8_0 | 8 | 36.4 GB | Very High | — |
F16 | 16 | 69.7 GB | Maximum | — |
Quality benchmarks
Yi 34B Chat benchmark scores
Reasoning
MMLU-Pro34.4%
GPQA Diamond11.7%
MATH-5006.3%
ARC Challenge—
General
Chatbot Arena—
IFEval47.0%
Source: community · 2025-01-01
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights20.7 GB
KV Cache3.7 GB
Runtime0.9 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Yi 34B Chat
See also