FitMyLLM
01.AI/Dense

01.AIYi 34B

Yi 34B — was the best open 34B model at launch. Strong reasoning.

chat
34B
Parameters
4K
Context length
8
Benchmarks
14
Quantizations
0
Architecture
Dense
Released
2023-11-02
Layers
60
KV Heads
8
Head Dim
128
Family
yi

Quantization Options

QuantBitsVRAM @ 4KQuality
IQ3_XXS3.25
14.3 GB
low
IQ3_XS3.5
15.4 GB
low
Q3_K_S3.64
16.0 GB
low
IQ3_M3.76
16.5 GB
low
Q3_K_M4
17.5 GB
low
Q3_K_L4.3
18.8 GB
moderate
IQ4_XS4.46
19.4 GB
moderate
Q4_K_S4.67
20.3 GB
moderate
Q4_K_M4.89
21.3 GB
good
Q5_K_S5.57
24.2 GB
good
Q5_K_M5.7
24.7 GB
good
Q6_K6.56
28.4 GB
excellent
Q8_08.5
36.6 GB
lossless
FP1616
68.5 GB
lossless

Select your GPU above to see speed estimates and compatibility for each quantization.

Deploying for a team or in production? Size GPUs, cost & scaling in Enterprise →
READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN YI 34B NOW

Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.

Community Ratings

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Benchmarks (8)

Arena Elo1126
IFEval60.7
BBH44.3
MMLU-PRO39.1
BigCodeBench33.9
MATH27.7
GPQA15.3
MUSR13.1

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run yi:34b-q4_K_M

Downloads and runs automatically. Add --verbose for speed stats.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

Apple M4 Pro (24GB)
24 GB VRAM • 273 GB/s
APPLE
$1399
NVIDIA L4 24GB
24 GB VRAM • 300 GB/s
NVIDIA
$2500
Apple M2 (24GB)
24 GB VRAM • 100 GB/s
APPLE
$999
Apple M3 (24GB)
24 GB VRAM • 100 GB/s
APPLE
$999
Apple M4 (24GB)
24 GB VRAM • 120 GB/s
APPLE
$699
NVIDIA Tesla M40 24 GB
24 GB VRAM • 288 GB/s
NVIDIA
NVIDIA Tesla P10
24 GB VRAM • 694 GB/s
NVIDIA
NVIDIA Tesla P40
24 GB VRAM • 347 GB/s
NVIDIA
NVIDIA RTX A5000
24 GB VRAM • 768 GB/s
NVIDIA
$2500
NVIDIA L40 CNX
24 GB VRAM • 864 GB/s
NVIDIA
$5000
NVIDIA L40G
24 GB VRAM • 864 GB/s
NVIDIA
$5000

Find the best GPU for Yi 34B

Build Hardware for Yi 34B

Yi 34B — was the best open 34B model at launch. Strong reasoning.

▸ SPEC SHEET

Yi 34B34B Dense.

▸ SPECIFICATIONS
PARAMETERS
34B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
4K tokens
CAPABILITIES
chat
RELEASE DATE
2023-11-02
PROVIDER
01.AI
FAMILY
yi
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
IQ3_XXS3.2514.3 GB82%
IQ3_XS3.515.4 GB84%
Q3_K_S3.6416.0 GB85%
IQ3_M3.7616.5 GB86%
Q3_K_M417.5 GB88%
Q3_K_L4.318.8 GB90%
IQ4_XS4.4619.4 GB92%
Q4_K_S4.6720.3 GB93%
Q4_K_M4.8921.3 GB94%
Q5_K_S5.5724.2 GB96%
Q5_K_M5.724.7 GB96%
Q6_K6.5628.4 GB97%
Q8_08.536.6 GB100%
FP161668.5 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO39.1
MATH27.7
IFEval60.7
BBH44.3
GPQA15.3
MUSR13.1
BigCodeBench33.9
Arena Elo1126.0
§ 02RUN COMMAND

Run Yi 34B locally with Ollama — needs 21.3 GB VRAM at Q4_K_M:

$ollama run yi:34b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M