4-bit Autotrain compatible Base model:openpipe/mistral-ft... Base model:quantized:openpipe/... Gptq Mistral Quantized Region:us Safetensors
Mistral Ft Optimized 1227 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 Ft Optimized 1227 GPTQ Parameters and Internals
| LLM Name | Mistral Ft Optimized 1227 GPTQ |
| Repository 🤗 | https://huggingface.co/TheBloke/mistral-ft-optimized-1227-GPTQ |
| Model Name | Mistral FT Optimized 1227 |
| Model Creator | OpenPipe |
| Base Model(s) | |
| Model Size | 1.2b |
| Required VRAM | 4.2 GB |
| Updated | 2024-09-16 |
| Maintainer | TheBloke |
| Model Type | mistral |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Mistral Ft Optimized 1227 GPTQ
Best Alternatives |
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Downloads |
Likes |
|---|---|---|---|
| ... Finetune 16bit Ver9 Main GPTQ | 32K / 4.2 GB | 5 | 0 |
| Dictalm2.0 Instruct GPTQ | 32K / 4.2 GB | 47 | 0 |
| Multi Verse Model GPTQ | 32K / 4.2 GB | 60 | 1 |
| Dictalm2.0 GPTQ | 32K / 4.2 GB | 38 | 0 |
| Turdus GPTQ | 32K / 4.2 GB | 24 | 5 |
| Em German Leo Mistral GPTQ | 32K / 4.2 GB | 1818 | 11 |
| Garrulus GPTQ | 32K / 4.2 GB | 7 | 3 |
| HamSter 0.1 GPTQ | 32K / 4.2 GB | 7 | 2 |
| Phoenix GPTQ | 32K / 4.2 GB | 5 | 1 |
| ...hat 3.5 1210 Seraph Slerp GPTQ | 32K / 4.2 GB | 4 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/mistral-ft-optimized-1227-GPTQ .
Rank the Mistral Ft Optimized 1227 GPTQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803