Model Card on HF 🤗: https://huggingface.co/desi6ner/mistral_instruct_WIN
Mistral Instruct WIN 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 Instruct WIN Parameters and Internals
| LLM Name | Mistral Instruct WIN |
| Repository 🤗 | https://huggingface.co/desi6ner/mistral_instruct_WIN |
| Required VRAM | 4.4 GB |
| Updated | 2025-02-15 |
| Maintainer | desi6ner |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
Best Alternatives to Mistral Instruct WIN
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...ixtral 8x7B Instruct V0.1 GGUF | 0K / 15.6 GB | 31035 | 611 |
| Dolphin 2.5 Mixtral 8x7b GGUF | 0K / 15.6 GB | 8203 | 301 |
| Dolphin 2.7 Mixtral 8x7b GGUF | 0K / 15.6 GB | 10762 | 138 |
| Phi 3 Mini 4K Instruct GGUF | 0K / 1.4 GB | 961 | 16 |
| Spydaz Web AI | 0K / 4.4 GB | 174 | 3 |
| ...i 3 Mini 4K Instruct V0.3 GGUF | 0K / 1.4 GB | 227 | 5 |
| Phi 3 Mini 4K Instruct | 0K / 2.3 GB | 27 | 0 |
| Autocomplete Model | 0K / 4.1 GB | 27 | 0 |
| Dre Phi Gguf | 0K / 2.3 GB | 14 | 0 |
| ...3 Mini 4k OLScience 4bitQ Gguf | 0K / 2.3 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than desi6ner/mistral_instruct_WIN .
Rank the Mistral Instruct WIN Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227