Mistral Finetune 16bit Ver9 Main GPTQ is an open-source language model by obamaTeo. Features: 1.2b LLM, VRAM: 4.2GB, Context: 32K, Quantized, Fine-Tuned, LLM Explorer Score: 0.12.
| LLM Name | Mistral Finetune 16bit Ver9 Main GPTQ |
| Repository 🤗 | https://huggingface.co/obamaTeo/mistral-finetune-16bit-ver9-main-GPTQ |
| Model Size | 1.2b |
| Required VRAM | 4.2 GB |
| Updated | 2025-09-23 |
| Maintainer | obamaTeo |
| Model Type | mistral |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq|16bit |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.40.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Turdus GPTQ | 32K / 4.2 GB | 8 | 5 |
| Hare1.0 Beta | 32K / 2.4 GB | 50 | 1 |
| Mistralmawq | 32K / 4.2 GB | 14 | 0 |
| Quantized Kheopss AWQ 4bits V1 | 32K / 4.2 GB | 17 | 0 |
| MistralLite AWQ | 32K / 4.2 GB | 42 | 3 |
| SFR Embedding Mistral AWQ | 32K / 4.2 GB | 16 | 0 |
| Yugo55A GPT AWQ | 32K / 4.2 GB | 6 | 0 |
| Openchat 3.5 16K AWQ | 32K / 4.2 GB | 3 | 1 |
| Openchat 3.5 0106 AWQ | 8K / 4.2 GB | 3 | 1 |