Mistral2B GPTQ is an open-source language model by YashRawal225. Features: 2b LLM, VRAM: 4GB, Context: 32K, License: unknown, Quantized, LLM Explorer Score: 0.1.
| LLM Name | Mistral2B GPTQ |
| Repository 🤗 | https://huggingface.co/YashRawal225/Mistral2B-GPTQ |
| Model Size | 2b |
| Required VRAM | 4 GB |
| Updated | 2026-08-04 |
| 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 |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Trained Model Sm 1 Merged | 32K / 4 GB | 0 | 0 |
| Experimental3 | 8K / 4.8 GB | 335 | 0 |
| Kara Kumru V1.0 2B | 8K / 4.8 GB | 55 | 23 |
| Kumru 2B | 8K / 4.8 GB | 1277 | 119 |