Model Card on HF 🤗: https://huggingface.co/FelixChao/Mistral-7b-Chem-TW
Mistral 7B Chem TW 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)
Mistral 7B Chem TW Parameters and Internals
| LLM Name | Mistral 7B Chem TW |
| Repository 🤗 | https://huggingface.co/FelixChao/Mistral-7b-Chem-TW |
| Model Size | 7b |
| Required VRAM | 28.9 GB |
| Updated | 2025-09-28 |
| Maintainer | FelixChao |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.35.0.dev0 |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives to Mistral 7B Chem TW
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...Nemo Instruct 2407 Abliterated | 1000K / 24.5 GB | 141 | 18 |
| MegaBeam Mistral 7B 512K | 512K / 14.4 GB | 8908 | 50 |
| SpydazWeb AI HumanAI RP | 512K / 14.4 GB | 17 | 1 |
| SpydazWeb AI HumanAI 002 | 512K / 14.4 GB | 18 | 1 |
| ...daz Web AI ChatML 512K Project | 512K / 14.5 GB | 12 | 0 |
| MegaBeam Mistral 7B 300K | 282K / 14.4 GB | 3779 | 16 |
| MegaBeam Mistral 7B 300K | 282K / 14.4 GB | 8082 | 16 |
| Hebrew Mistral 7B 200K | 256K / 30 GB | 1316 | 15 |
| Astral 256K 7B V2 | 250K / 14.4 GB | 5 | 0 |
| Astral 256K 7B | 250K / 14.4 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than FelixChao/Mistral-7b-Chem-TW .
Rank the Mistral 7B Chem TW Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124