What are the hardware requirements for ChinaLM 9B?

ChinaLM 9B requires approximately 17.9 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed ChinaLM 9B and how large is it?

ChinaLM 9B is developed by Chickaboo, a model with 9b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate ChinaLM 9B?

ChinaLM 9B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ChinaLM 9B by Chickaboo — VRAM 17.9GB, 4K context

Name: ChinaLM 9B
Author: Chickaboo

ChinaLM 9B is an open-source language model by Chickaboo. Features: 9b LLM, VRAM: 17.9GB, Context: 4K, License: mit, Instruction-Based, Merged, LLM Explorer Score: 0.13.

Merged Model Autotrain compatible Base model:01-ai/yi-1.5-9b-cha... Base model:qwen/qwen2-7b-instr... Chicka China Chinese Conversational En Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Chickaboo/ChinaLM-9B

ChinaLM 9B Parameters and Internals

Model Type

conversational

Additional Notes

ChinaLM is designed to deliver a high-quality conversational experience in Chinese.

Supported Languages

en (supported), zh (supported)

LLM Name	ChinaLM 9B
Repository 🤗	https://huggingface.co/Chickaboo/ChinaLM-9B
Base Model(s)	01-ai/Yi-1.5-9B-Chat Qwen2 7B Instruct 01-ai/Yi-1.5-9B-Chat Qwen/Qwen2-7B-Instruct
Merged Model	Yes
Model Size	9b
Required VRAM	17.9 GB
Updated	2025-09-26
Maintainer	Chickaboo
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 3.0 GB: 4-of-4
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	mit
Context Length	4096
Model Max Length	4096
Transformers Version	4.41.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	64000
Torch Data Type	bfloat16

Rank the ChinaLM 9B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to ChinaLM 9B

Best Alternatives	Context / RAM	Downloads	Likes
SekhmetX 9B V0.1 Test	256K / 21.2 GB	71	2
SekmetX 9B V0.1 Test	256K / 21.2 GB	69	2
Mike Hawk 9B	256K / 21.3 GB	3	3
Xgen Small 9B Instruct R	256K / 42.5 GB	44	11
Yi Coder 9B Chat Instruct TIES	128K / 17.7 GB	25	0
EuroLLM 9B Instruct 2512	32K / 18.3 GB	5898	8
EVA Yi 1.5 9B 32K V1	32K / 17.7 GB	25	15
...ity Instruct 3M 0625 Yi 1.5 9B	4K / 17.7 GB	8543	4
Llama 3 Experiment V1 9B GGUF	8K / 5.4 GB	256	0

Note: green Score (e.g. "73.2") means that the model is better than Chickaboo/ChinaLM-9B.