Autotrain compatible Dataset:linksoul/chinese-llava... En Endpoints compatible Instruct Llava Pytorch Region:us Sharded Vision Zh
Model Card on HF 🤗: https://huggingface.co/LinkSoul/Chinese-LLaVA-Baichuan
Chinese LLaVA Baichuan Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Chinese LLaVA Baichuan Parameters and Internals
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| LLM Name | Chinese LLaVA Baichuan |
| Repository 🤗 | https://huggingface.co/LinkSoul/Chinese-LLaVA-Baichuan |
| Model Size | 7b |
| Required VRAM | 28 GB |
| Updated | 2025-09-23 |
| Maintainer | LinkSoul |
| Model Type | llava |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | zh en |
| Model Architecture | LlavaLlamaForCausalLM |
| License | openrail |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.28.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Beginning of Sentence Token | <s> |
| End of Sentence Token | </s> |
| Unk Token | <unk> |
| Vocabulary Size | 64004 |
| Torch Data Type | float32 |
Best Alternatives to Chinese LLaVA Baichuan
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llava V1.6 Mistral 7B PATCHED | 32K / 15.1 GB | 5 | 8 |
| Table Llava V1.5 7B | 4K / 14.2 GB | 23 | 13 |
| Quilt Llava V1.5 7B | 4K / 14.2 GB | 1606 | 7 |
| Co Instruct Llava V1.5 7B | 4K / 14.1 GB | 6 | 1 |
| ...V1.5 7b Qinstruct Preview V0.1 | 4K / 14.2 GB | 229 | 5 |
| ...ct4V LLaVA Instruct Mix880k 7B | 4K / 14.2 GB | 5 | 3 |
| KoLLaVA KoVicuna 7B | 2K / 27 GB | 21 | 13 |
| Llava 1.6 Gptq 8bit | 32K / 9.6 GB | 7 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than LinkSoul/Chinese-LLaVA-Baichuan .
Rank the Chinese LLaVA Baichuan Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124