Mixtral Quantized is an open-source language model by alquimista888. Features: 7.2b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Quantized, Fine-Tuned, LLM Explorer Score: 0.13.
Arxiv:2310.06825 Conversational Endpoints compatible Finetuned Gguf Mistral Pytorch Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/alquimista888/mixtral_quantized
Mixtral Quantized 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 Quantized Parameters and Internals
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| LLM Name | Mixtral Quantized |
| Repository 🤗 | https://huggingface.co/alquimista888/mixtral_quantized |
| Model Size | 7.2b |
| Required VRAM | 14.4 GB |
| Updated | 2026-05-05 |
| Maintainer | alquimista888 |
| Model Type | mistral |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Mixtral Quantized
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Spydaz Web AGI DeepThink | 128K / 14.4 GB | 14 | 1 |
| ...daz Web AI Pre Train Align 004 | 128K / 14.4 GB | 28 | 0 |
| Zion Alpha | 32K / 14.4 GB | 1085 | 4 |
| LCARS AI 001 | 32K / 14.4 GB | 14 | 4 |
| Mayonnaise 4in1 02 | 32K / 14.4 GB | 101 | 0 |
| Zsql En Postgres | 32K / 14.4 GB | 64 | 5 |
| MHENNlitv3 | 32K / 28.9 GB | 8 | 0 |
| MHENNlitv2 | 32K / 28.9 GB | 32 | 0 |
| MHENNcodemathv2 | 32K / 28.9 GB | 10 | 0 |
| MHENNcodemath | 32K / 28.9 GB | 10 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than alquimista888/mixtral_quantized .
Rank the Mixtral Quantized Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a