Distil Mistral 1.5B Instruct V0.2 Cosmo 100K is an open-source language model by sanchit-gandhi. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.13.
Model Card on HF 🤗: https://huggingface.co/sanchit-gandhi/distil-mistral-1.5B-Instruct-v0.2-cosmo-100k
Distil Mistral 1.5B Instruct V0.2 Cosmo 100K 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)
Distil Mistral 1.5B Instruct V0.2 Cosmo 100K Parameters and Internals
| LLM Name | Distil Mistral 1.5B Instruct V0.2 Cosmo 100K |
| Repository 🤗 | https://huggingface.co/sanchit-gandhi/distil-mistral-1.5B-Instruct-v0.2-cosmo-100k |
| Model Size | 1.5b |
| Required VRAM | 3.1 GB |
| Updated | 2026-04-10 |
| Maintainer | sanchit-gandhi |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.40.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives to Distil Mistral 1.5B Instruct V0.2 Cosmo 100K
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| RakutenAI 2.0 Mini Instruct | 128K / 3.1 GB | 618 | 29 |
Note: green Score (e.g. "73.2") means that the model is better than sanchit-gandhi/distil-mistral-1.5B-Instruct-v0.2-cosmo-100k .
Rank the Distil Mistral 1.5B Instruct V0.2 Cosmo 100K Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a