4-bit Autotrain compatible Awq Conversational De En Endpoints compatible Es Fr Instruct It Ja Ko Mistral Pt Quantized Region:us Ru Safetensors Sharded Tensorflow Zh
Model Card on HF 🤗: https://huggingface.co/TechxGenus/Mistral-Large-Instruct-2407-AWQ
Mistral Large Instruct 2407 AWQ 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 Large Instruct 2407 AWQ Parameters and Internals
| LLM Name | Mistral Large Instruct 2407 AWQ |
| Repository 🤗 | https://huggingface.co/TechxGenus/Mistral-Large-Instruct-2407-AWQ |
| Model Size | 17.1b |
| Required VRAM | 64.5 GB |
| Updated | 2025-09-23 |
| Maintainer | TechxGenus |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en fr de es it pt zh ja ru ko |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | MistralForCausalLM |
| License | other |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.43.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32768 |
| Torch Data Type | float16 |
Best Alternatives to Mistral Large Instruct 2407 AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...arge Instruct 2407 XMADai INT4 | 128K / 31.7 GB | 64 | 7 |
Note: green Score (e.g. "73.2") means that the model is better than TechxGenus/Mistral-Large-Instruct-2407-AWQ .
Rank the Mistral Large Instruct 2407 AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124