FitMyLLM
Tsinghua/Zhipu AI/Dense

Tsinghua/Zhipu AIChatGLM2 6B

Tsinghua's bilingual model. Optimized for Chinese with solid English.

chatmultilingual
6.24B
Parameters
32K
Context length
1
Benchmarks
6
Quantizations
500K
HF downloads
Architecture
Dense
Released
2023-06-25
Layers
28
KV Heads
2
Head Dim
128
Family
chatglm

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q4_K_M4.89
4.6 GB
4.3 + 0.3 KV
good
Q5_K_S5.57
5.2 GB
4.8 + 0.3 KV
good
Q5_K_M5.7
5.3 GB
4.9 + 0.3 KV
good
Q6_K6.56
5.9 GB
5.6 + 0.3 KV
excellent
Q8_08.5
7.4 GB
7.1 + 0.3 KV
lossless
FP1616
13.3 GB
13.0 + 0.3 KV
lossless

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

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Community Ratings

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Benchmarks (1)

HumanEval20.7

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run chatglm:6b-q4_K_M

Tag may need adjustment — check ollama.com/library/chatglm for available tags.

▸ 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.

NVIDIA Tesla K20c
5 GB VRAM • 208 GB/s
NVIDIA
NVIDIA Tesla K20m
5 GB VRAM • 208 GB/s
NVIDIA
NVIDIA Tesla K20s
5 GB VRAM • 208 GB/s
NVIDIA
NVIDIA Tesla C2070
6 GB VRAM • 143 GB/s
NVIDIA
NVIDIA Tesla C2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla C2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla M2070
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2070-Q
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2070
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla K20X
6 GB VRAM • 250 GB/s
NVIDIA
NVIDIA Tesla K20Xm
6 GB VRAM • 250 GB/s
NVIDIA

Find the best GPU for ChatGLM2 6B

Build Hardware for ChatGLM2 6B

Tsinghua's bilingual model. Optimized for Chinese with solid English.

▸ SPEC SHEET

ChatGLM2 6B6.24B Dense.

▸ SPECIFICATIONS
PARAMETERS
6.24B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
32K tokens
CAPABILITIES
chat, multilingual
RELEASE DATE
2023-06-25
PROVIDER
Tsinghua/Zhipu AI
FAMILY
chatglm
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.894.3 GB94%
Q5_K_S5.574.8 GB96%
Q5_K_M5.74.9 GB96%
Q6_K6.565.6 GB97%
Q8_08.57.1 GB100%
FP161613.0 GB100%
§ 01BENCHMARK SCORES
HumanEval20.7
§ 03COMPATIBLE GPUs
30 @ Q4_K_M