Mixtral 8x7B V0.1 Gptq 4bit is an open-source language model by IbuNai. Features: 6.1b LLM, VRAM: 24.1GB, Context: 32K, MoE, Quantized, LLM Explorer Score: 0.11.
4-bit 4bit Autotrain compatible Endpoints compatible Gptq Mixtral Moe Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/IbuNai/Mixtral-8x7B-v0.1-gptq-4bit
Mixtral 8x7B V0.1 Gptq 4bit 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 V0.1 Gptq 4bit Parameters and Internals
| LLM Name | Mixtral 8x7B V0.1 Gptq 4bit |
| Repository 🤗 | https://huggingface.co/IbuNai/Mixtral-8x7B-v0.1-gptq-4bit |
| Model Size | 6.1b |
| Required VRAM | 24.1 GB |
| Updated | 2024-10-31 |
| Maintainer | IbuNai |
| Model Type | mixtral |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq|4bit |
| Model Architecture | MixtralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Mixtral 8x7B V0.1 Gptq 4bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mixtral 8x7B V0.1 GPTQ | 32K / 23.8 GB | 1626 | 127 |
| Dolphin 2.7 Mixtral 8x7b GPTQ | 32K / 23.8 GB | 78 | 19 |
| Open Gpt4 8x7B V0.2 GPTQ | 32K / 23.8 GB | 1 | 6 |
| Sensualize Mixtral GPTQ | 32K / 23.8 GB | 16 | 5 |
| SauerkrautLM Mixtral 8x7B GPTQ | 32K / 23.8 GB | 10 | 2 |
| ...nbuddy Mixtral 8x7b V15.2 GPTQ | 32K / 23.9 GB | 1 | 5 |
| Fennec Mixtral 8x7B GPTQ | 32K / 23.8 GB | 11 | 2 |
| Mixtral SlimOrca 8x7B GPTQ | 32K / 23.8 GB | 14 | 11 |
| Chupacabra 8x7B MoE GPTQ | 32K / 23.8 GB | 9 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than IbuNai/Mixtral-8x7B-v0.1-gptq-4bit .
Rank the Mixtral 8x7B V0.1 Gptq 4bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a