FitMyLLM
01.AI/Dense

01.AIYi-1.5 34B

Yi-1.5 34B — top-tier at its size, excellent for complex tasks.

chat
34.4B
Parameters
4K
Context length
9
Benchmarks
14
Quantizations
120K
HF downloads
Architecture
Dense
Released
2024-05-13
Layers
60
KV Heads
8
Head Dim
128
Family
yi

Quantization Options

QuantBitsVRAM @ 4KQuality
IQ3_XXS3.25
14.5 GB
low
IQ3_XS3.5
15.5 GB
low
Q3_K_S3.64
16.1 GB
low
IQ3_M3.76
16.7 GB
low
Q3_K_M4
17.7 GB
low
Q3_K_L4.3
19.0 GB
moderate
IQ4_XS4.46
19.7 GB
moderate
Q4_K_S4.67
20.6 GB
moderate
Q4_K_M4.89
21.5 GB
good
Q5_K_S5.57
24.4 GB
good
Q5_K_M5.7
25.0 GB
good
Q6_K6.56
28.7 GB
excellent
Q8_08.5
37.0 GB
lossless
FP1616
69.3 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-1.5 34B NOW

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

Community Ratings

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Benchmarks (9)

Arena Elo1460
MATH77.0
HumanEval66.0
IFEval60.7
MMLU-PRO52.0
BBH44.3
BigCodeBench33.9
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-1.5 34B

Build Hardware for Yi-1.5 34B

Yi-1.5 34B — top-tier at its size, excellent for complex tasks.

▸ SPEC SHEET

Yi-1.5 34B34.4B Dense.

▸ SPECIFICATIONS
PARAMETERS
34.4B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
4K tokens
CAPABILITIES
chat
RELEASE DATE
2024-05-13
PROVIDER
01.AI
FAMILY
yi
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
IQ3_XXS3.2514.5 GB82%
IQ3_XS3.515.5 GB84%
Q3_K_S3.6416.1 GB85%
IQ3_M3.7616.7 GB86%
Q3_K_M417.7 GB88%
Q3_K_L4.319.0 GB90%
IQ4_XS4.4619.7 GB92%
Q4_K_S4.6720.6 GB93%
Q4_K_M4.8921.5 GB94%
Q5_K_S5.5724.4 GB96%
Q5_K_M5.725.0 GB96%
Q6_K6.5628.7 GB97%
Q8_08.537.0 GB100%
FP161669.3 GB100%
§ 01BENCHMARK SCORES
HumanEval66.0
MMLU-PRO52.0
MATH77.0
IFEval60.7
BBH44.3
GPQA15.3
MUSR13.1
BigCodeBench33.9
Arena Elo1460.0
§ 02RUN COMMAND

Run Yi-1.5 34B locally with Ollama — needs 21.5 GB VRAM at Q4_K_M:

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