32bit Autotrain compatible Conversational Endpoints compatible Llama Pytorch Quantized Region:us Sharded
Model Card on HF 🤗: https://huggingface.co/MNC-Jihun/Mistral-11B-Omni-OP-u1k-ver0.5
Mistral 11B Omni OP U1k Ver0.5 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 11B Omni OP U1k Ver0.5 Parameters and Internals
| LLM Name | Mistral 11B Omni OP U1k Ver0.5 |
| Repository 🤗 | https://huggingface.co/MNC-Jihun/Mistral-11B-Omni-OP-u1k-ver0.5 |
| Base Model(s) | |
| Model Size | 11b |
| Required VRAM | 21.4 GB |
| Updated | 2025-09-23 |
| Maintainer | MNC-Jihun |
| Model Type | llama |
| Model Files | |
| Quantization Type | 32bit |
| Model Architecture | LlamaForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.34.0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Mistral 11B Omni OP U1k Ver0.5
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ... 11B V2.5 Instruct FP8 Dynamic | 32K / 11.5 GB | 75 | 2 |
| ...istral 11B Omni OPA U1k Ver0.7 | 32K / 21.4 GB | 5 | 0 |
| Mistral 11B OP U1k Ver0.7 | 32K / 21.4 GB | 5 | 0 |
| ...istral 11B V2 HQQ 4bit Smashed | 8K / 6 GB | 5 | 0 |
| ...mbulvetr 11B V2.8.0bpw H8 EXL2 | 4K / 10.9 GB | 6 | 7 |
| ...mbulvetr 11B V2.6.0bpw H6 EXL2 | 4K / 8.2 GB | 5 | 4 |
| ...mbulvetr 11B V2.3.0bpw H6 EXL2 | 4K / 4.3 GB | 6 | 1 |
| ...mbulvetr 11B V2.4.0bpw H6 EXL2 | 4K / 5.6 GB | 7 | 0 |
| Solstice 11B V1.8.0bpw H8 EXL2 | 4K / 10.9 GB | 7 | 0 |
| A6.1 | 1024K / 16.1 GB | 130 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than MNC-Jihun/Mistral-11B-Omni-OP-u1k-ver0.5 .
Rank the Mistral 11B Omni OP U1k Ver0.5 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124