Arxiv:1910.09700 16bit 4-bit Autotrain compatible Conversational Endpoints compatible Finetuned Gptq Mistral Quantized Region:us Safetensors
Mistral Finetune 16bit Ver9 Main 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)
Mistral Finetune 16bit Ver9 Main GPTQ Parameters and Internals
| 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 | 2024-09-07 |
| 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 to Mistral Finetune 16bit Ver9 Main GPTQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Dictalm2.0 Instruct GPTQ | 32K / 4.2 GB | 42 | 0 |
| Multi Verse Model GPTQ | 32K / 4.2 GB | 62 | 1 |
| Dictalm2.0 GPTQ | 32K / 4.2 GB | 40 | 0 |
| Em German Leo Mistral GPTQ | 32K / 4.2 GB | 2741 | 11 |
| Turdus GPTQ | 32K / 4.2 GB | 21 | 5 |
| Garrulus GPTQ | 32K / 4.2 GB | 13 | 3 |
| HamSter 0.1 GPTQ | 32K / 4.2 GB | 9 | 2 |
| Phoenix GPTQ | 32K / 4.2 GB | 5 | 1 |
| Mistral Ft Optimized 1227 GPTQ | 32K / 4.2 GB | 8 | 2 |
| ...h Openchat 3.5 1210 Slerp GPTQ | 32K / 4.2 GB | 8 | 1 |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803