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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/Models/Baichuan 7B

BaichuanBaichuan

Baichuan 7B

Legacy
huggingfaceHuggingFace
52.7KDownloads842LikesJun 2023Released8K tokensContextApache 2.0License3 EntryQuality

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Quick specs

Parameters7B
Architecturedense
Context8K tokens
Modalitytext
Min RAM2.7 GB
Rec. RAM4.3 GB (Q4_K_M)
LicenseApache 2.0
FamilyBaichuan
✓ Chat✓ Reasoning

About this model

Baichuan-7B是由百川智能开发的一个开源的大规模预训练模型。基于Transformer结构,在大约1.2万亿tokens上训练的70亿参数模型,支持中英双语,上下文窗口长度为4096。在标准的中文和英文权威benchmark(C-EVAL/MMLU)上均取得同尺寸最好的效果。

  • •在同尺寸模型中Baichuan-7B达到了目前SOTA的水平,参考下面MMLU指标
  • •Baichuan-7B使用自有的中英文双语语料进行训练,在中文上进行优化,在C-Eval达到SOTA水平
  • •不同于LLaMA完全禁止商业使用,Baichuan-7B使用更宽松的开源协议,允许用于商业目的
  • •Among models of the same size, Baichuan-7B has achieved the current state-of-the-art (SOTA) level, as evidenced by the following MMLU metrics
  • •Baichuan-7B is trained on proprietary bilingual Chinese-English corpora, optimized for Chinese, and achieves SOTA performance on C-Eval

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Quantization options

VRAM estimates by quant level

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
2.7 GB
Low—
Q3_K_S
3
3.4 GB
Low—
NVFP4
4
3.9 GB
Medium—
Q4_K_M
4
4.3 GB
Medium—
Q5_K_M
5
5.0 GB
High—
Q6_K
6
5.7 GB
High—
Q8_0
8
7.5 GB
Very High—
F16
16
14.3 GB
Maximum—

Hardware compatibility

Fit estimates across all hardware

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Computing compatibility...

Memory breakdown

Reference: NVIDIA A10 24GB

Weights4.3 GB
KV Cache1.1 GB
Runtime0.9 GB
Headroom2.4 GB