4-bit Autotrain compatible Awq Conversational Endpoints compatible Instruct Mixtral Moe Quantized Region:us Safetensors Sharded Tensorflow
Rank the Mixtral 8x7B Instruct V0.1 AWQ Capabilities
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Best Alternatives to Mixtral 8x7B Instruct V0.1 AWQ
Best Alternatives |
HF Rank |
Context/RAM |
Downloads |
Likes |
|---|---|---|---|---|
| ...ixtral Instruct 8x7b Zloss AWQ | 64.2 | 32K / 24.7 GB | 10 | 1 |
| ...utLM Mixtral 8x7B Instruct AWQ | 63.8 | 32K / 24.7 GB | 468 | 2 |
| Mixtral 8x7B Instruct V0.1 AWQ | 63.7 | 32K / 24.7 GB | 1025 | 54 |
| ...Mixtral 8x7B V0.1 Dolly15K AWQ | 63.5 | 32K / 24.7 GB | 6 | 1 |
| Mixtral Instruct AWQ | — | 32K / 24.7 GB | 14524 | 39 |
| Dolphin 2.7 Mixtral 8x7b AWQ | — | 32K / 24.7 GB | 3985 | 19 |
| Dolphin 2.6 Mixtral 8x7b AWQ | — | 32K / 24.7 GB | 20 | 13 |
| Dolphin 2.5 Mixtral 8x7b AWQ | — | 32K / 24.7 GB | 8 | 6 |
| ...0.1 LimaRP ZLoss DARE TIES AWQ | — | 32K / 24.7 GB | 288 | 3 |
| ...1 Mixtral 8x7b Instruct V3 AWQ | — | 32K / 24.7 GB | 36 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than ybelkada/Mixtral-8x7B-Instruct-v0.1-AWQ .
Mixtral 8x7B Instruct V0.1 AWQ Parameters and Internals
| LLM Name | Mixtral 8x7B Instruct V0.1 AWQ |
| Repository | Open on 🤗 |
| Model Size | 6.5b |
| Required VRAM | 24.7 GB |
| Updated | 2024-07-01 |
| Maintainer | ybelkada |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | MixtralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Initializer Range | 0.02 |
| Torch Data Type | float16 |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801