Arxiv:2306.01708 Arxiv:2311.03099 4-bit Autotrain compatible Awq Base model:doctor-shotgun/mixt... Base model:quantized:doctor-sh... Instruct Merge Mergekit Mixtral Moe Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-DARE-TIES-AWQ
Mixtral 8x7B Instruct V0.1 LimaRP ZLoss DARE TIES 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)
Mixtral 8x7B Instruct V0.1 LimaRP ZLoss DARE TIES AWQ Parameters and Internals
| Model Type |
|
| LLM Name | Mixtral 8x7B Instruct V0.1 LimaRP ZLoss DARE TIES AWQ |
| Repository 🤗 | https://huggingface.co/TheBloke/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-DARE-TIES-AWQ |
| Model Name | Mixtral 8X7B Instruct V0.1 LimaRP ZLoss DARE TIES |
| Model Creator | Doctor Shotgun |
| Base Model(s) | |
| Model Size | 6.5b |
| Required VRAM | 24.7 GB |
| Updated | 2025-03-12 |
| Maintainer | TheBloke |
| 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 | 4.37.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Mixtral 8x7B Instruct V0.1 LimaRP ZLoss DARE TIES AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Dolphin 2.7 Mixtral 8x7b AWQ | 32K / 24.7 GB | 35151 | 22 |
| Mixtral 8x7B Instruct V0.1 AWQ | 32K / 24.7 GB | 7 | 0 |
| Mixtral Instruct AWQ | 32K / 24.7 GB | 3261 | 43 |
| Mixtral 8x7B Instruct V0.1 AWQ | 32K / 24.7 GB | 1881 | 57 |
| ...xtral Instruct AWQ Clone Dec23 | 32K / 24.7 GB | 13 | 0 |
| Mixtral 8x7B Instruct V0.1 AWQ | 32K / 24.7 GB | 351 | 15 |
| ...ixtral Instruct 8x7b Zloss AWQ | 32K / 24.7 GB | 45 | 2 |
| ...utLM Mixtral 8x7B Instruct AWQ | 32K / 24.7 GB | 140 | 2 |
| ...Instruct V0.1 LimaRP ZLoss AWQ | 32K / 24.7 GB | 14 | 1 |
| Dolphin 2.5 Mixtral 8x7b AWQ | 32K / 24.7 GB | 61 | 6 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-DARE-TIES-AWQ .
Rank the Mixtral 8x7B Instruct V0.1 LimaRP ZLoss DARE TIES AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227