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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 13B

BaichuanBaichuan

Baichuan 13B

Legacy
huggingfaceHuggingFace
8.7KDownloads632LikesJul 2023Released8K tokensContextApache 2.0License3 EntryQuality

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Quick specs

Parameters13B
Architecturedense
Context8K tokens
Modalitytext
Min RAM5.1 GB
Rec. RAM9.4 GB (Q5_K_M)
LicenseApache 2.0
FamilyBaichuan
✓ Chat✓ Reasoning

About this model

Baichuan-13B-Chat为Baichuan-13B系列模型中对齐后的版本,预训练模型可见Baichuan-13B-Base。

  • •更大尺寸、更多数据:Baichuan-13B 在 Baichuan-7B 的基础上进一步扩大参数量到 130 亿,并且在高质量的语料上训练了 1.4 万亿 tokens,超过 LLaMA-13B 40%,是当前开源 13B 尺寸下训练数据量最多的模型。支持中英双语,使用 ALiBi...
  • •同时开源预训练和对齐模型:预训练模型是适用开发者的“基座”,而广大普通用户对有对话功能的对齐模型具有更强的需求。因此本次开源我们同时发布了对齐模型(Baichuan-13B-Chat),具有很强的对话能力,开箱即用,几行代码即可简单的部署。
  • •更高效的推理:为了支持更广大用户的使用,我们本次同时开源了 int8 和 int4 的量化版本,相对非量化版本在几乎没有效果损失的情况下大大降低了部署的机器资源门槛,可以部署在如 Nvidia 3090 这样的消费级显卡上。
  • •开源免费可商用:Baichuan-13B 不仅对学术研究完全开放,开发者也仅需邮件申请并获得官方商用许可后,即可以免费商用。

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Quick picks

AMD
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RX 7600 XT 16GB~$329 — 18 tok/s
AMD
Best overallC
RX 7900 XT 20GB~$899 — 52 tok/s

Best hardware

Top picks for Baichuan 13B

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AMD
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Quantization options

VRAM estimates by quant level

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
5.1 GB
Low—
Q3_K_S
3
6.4 GB
Low—
NVFP4
4
7.3 GB
Medium—
Q4_K_M
4
7.9 GB
Medium—
Q5_K_M
5
9.4 GB
High—
Q6_K
6
10.7 GB
High—
Q8_0
8
13.9 GB
Very High—
F16
16
26.7 GB
Maximum—

Hardware compatibility

Fit estimates across all hardware

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Computing compatibility...

Memory breakdown

Reference: NVIDIA A10 24GB

Weights9.4 GB
KV Cache2.0 GB
Runtime0.9 GB
Headroom2.4 GB