Model Card on HF 🤗: https://huggingface.co/AWS/MistralLite
MistralLite 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)
MistralLite Parameters and Internals
| LLM Name | MistralLite |
| Repository 🤗 | https://huggingface.co/AWS/MistralLite |
| Required VRAM | 14.4 GB |
| Updated | 2025-04-09 |
| Maintainer | AWS |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.34.0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 32003 |
| Torch Data Type | bfloat16 |
Best Alternatives to MistralLite
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Krutrim 2 Instruct | 1000K / 49.3 GB | 1319 | 28 |
| Ft V1 Violet | 1000K / 24.5 GB | 5 | 0 |
| Devstral Small 2505 Bf16 | 128K / 46.9 GB | 512 | 1 |
| Tiny Random MistralForCausalLM | 128K / 0 GB | 6157 | 1 |
| Winterreise M7 | 32K / 14.4 GB | 0 | 0 |
| Frostwind V2.1 M7 | 32K / 14.4 GB | 0 | 0 |
| ...ydaz Web AI Reasoner BaseModel | 32K / 14.4 GB | 0 | 1 |
| MistralLite | 32K / 14.4 GB | 12871 | 432 |
| Mixtral AI Cyber Child | 32K / 14.5 GB | 14 | 1 |
| Kheops Textbook Immo2 | 32K / 14.5 GB | 11 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than AWS/MistralLite .
Rank the MistralLite Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124