Autotrain compatible Dataset:emrgnt-cmplxty/sciphi-... Endpoints compatible Mistral Pytorch Region:us
Model Card on HF 🤗: https://huggingface.co/openaccess-ai-collective/mistral-100m-textbooks
Mistral 100M Textbooks 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 100M Textbooks Parameters and Internals
| Additional Notes |
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| Training Details |
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| LLM Name | Mistral 100M Textbooks |
| Repository 🤗 | https://huggingface.co/openaccess-ai-collective/mistral-100m-textbooks |
| Model Size | 100m |
| Required VRAM | 0.5 GB |
| Updated | 2025-09-23 |
| Maintainer | openaccess-ai-collective |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.34.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives to Mistral 100M Textbooks
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Endurance 100B V1 | 128K / 200.1 GB | 3 | 12 |
| Endurance 100B V1.1 | 128K / 200.2 GB | 3 | 3 |
| Lazarus 2407 100B | 128K / 200.2 GB | 7 | 8 |
| Dart V2 Sft | 1K / 0.2 GB | 783 | 2 |
| Dart V2 Base | 1K / 0.2 GB | 5 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than openaccess-ai-collective/mistral-100m-textbooks .
Rank the Mistral 100M Textbooks Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124