Mistral2B GPTQ is an open-source language model by YashRawal225. Features: 2b LLM, VRAM: 4GB, Context: 32K, License: unknown, Quantized, LLM Explorer Score: 0.11.
Model Card on HF 🤗: https://huggingface.co/YashRawal225/Mistral2B-GPTQ
Mistral2B GPTQ 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)
Mistral2B GPTQ Parameters and Internals
| LLM Name | Mistral2B GPTQ |
| Repository 🤗 | https://huggingface.co/YashRawal225/Mistral2B-GPTQ |
| Model Size | 2b |
| Required VRAM | 4 GB |
| Updated | 2026-01-17 |
| Maintainer | YashRawal225 |
| Model Type | mistral |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | MistralForCausalLM |
| License | unknown |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.34.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Mistral2B GPTQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Trained Model Sm 1 Merged | 32K / 4 GB | 0 | 0 |
| Kara Kumru V1.0 2B | 8K / 4.8 GB | 878 | 20 |
| Kumru 2B | 8K / 4.8 GB | 1080 | 114 |
Note: green Score (e.g. "73.2") means that the model is better than YashRawal225/Mistral2B-GPTQ .
Rank the Mistral2B GPTQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a