Model Card on HF 🤗: https://huggingface.co/W1lson/mistral-trained-on-Book3
Mistral Trained On Book3 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 Trained On Book3 Parameters and Internals
| LLM Name | Mistral Trained On Book3 |
| Repository 🤗 | https://huggingface.co/W1lson/mistral-trained-on-Book3 |
| Required VRAM | 0 GB |
| Updated | 2025-08-11 |
| Maintainer | W1lson |
| Model Files | |
| Model Architecture | Adapter |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | q_proj|v_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0.05 |
| R Param | 16 |
Best Alternatives to Mistral Trained On Book3
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Nemo Kimi Lora | 0K / 1.8 GB | 9 | 0 |
| Nemo Books Lora 4 | 0K / 1.8 GB | 7 | 0 |
| Nemo Books Lora | 0K / 1.8 GB | 10 | 0 |
| Phi 3 Mini 4K Instruct Sa V0.1 | 0K / 0 GB | 5 | 0 |
| Francois KTO Lora | 0K / 0 GB | 11 | 0 |
| Francois KTO Lora | 0K / 0 GB | 6 | 0 |
| Rei V2 Kto | 0K / 0 GB | 13 | 0 |
| ...caaaf043da230d9a30d8e0ddcbe879 | 0K / 0.4 GB | 11 | 0 |
| ...357cade9cc1096cecc35c34dba8992 | 0K / 1.3 GB | 10 | 0 |
| Rei V2 Kto | 0K / 0 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than W1lson/mistral-trained-on-Book3 .
Rank the Mistral Trained On Book3 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124