4-bit Autotrain compatible Awq Base model:quantized:vezora/mi... Base model:vezora/mistral-22b-... En Endpoints compatible Mistral Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/solidrust/Mistral-22B-v0.1-AWQ
Mistral 22B V0.1 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)
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Mistral 22B V0.1 AWQ Parameters and Internals
| Model Type |
| |||
| Supported Languages |
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| Input Output |
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| LLM Name | Mistral 22B V0.1 AWQ |
| Repository 🤗 | https://huggingface.co/solidrust/Mistral-22B-v0.1-AWQ |
| Model Name | Mistral-22B-v0.1 |
| Model Creator | Vezora |
| Base Model(s) | |
| Model Size | 22b |
| Required VRAM | 12.2 GB |
| Updated | 2025-03-14 |
| Maintainer | solidrust |
| Model Type | mistral |
| Model Files | |
| Supported Languages | en |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 65536 |
| Model Max Length | 65536 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Mistral 22B V0.1 AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral 22B V0.2 AWQ | 64K / 12.2 GB | 12 | 2 |
| Codestral 22B V0.1 Hf AWQ | 32K / 12.2 GB | 124 | 2 |
| Codestral 22B V0.1 AWQ | 32K / 12.2 GB | 83 | 0 |
| Codestral 22B V0.1 Hf AWQ | 32K / 12.2 GB | 16 | 0 |
| Codestral 22B V0.1 AWQ | 32K / 12.2 GB | 8 | 0 |
| MwM 22B Instruct | 128K / 44.7 GB | 24 | 0 |
| ... Instruct 0.2 Chkpt 200 16 Bit | 128K / 44.7 GB | 24 | 1 |
| ...l 22B V0.1 Hf FIM Fix Bnb 4bit | 32K / 13.1 GB | 10 | 1 |
| Text2cypher Codestral 16bit | 32K / 44.7 GB | 26 | 3 |
| ... Abliterated V3.8.0bpw H8 EXL2 | 32K / 21.2 GB | 8 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than solidrust/Mistral-22B-v0.1-AWQ .
Rank the Mistral 22B V0.1 AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227