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Mixtral AI Llava 4bit by LeroyDyer

By LeroyDyer · 108 downloads
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Mixtral AI Llava 4bit is an open-source language model by LeroyDyer. Features: 7.2b LLM, VRAM: 14.4GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

  4bit Base model:leroydyer/spydazweb... Base model:quantized:leroydyer...   Conversational   En   Endpoints compatible   Gguf   Instruct   Llava   Mistral   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth   Vision
Model Card on HF 🤗: https://huggingface.co/LeroyDyer/Mixtral_AI_llava_4bit 

Mixtral AI Llava 4bit Parameters and Internals

Model Type 
text-generation, multimodal
Use Cases 
Areas:
research, commercial applications
Applications:
image-to-text, chatbot interaction
Additional Notes 
This model includes vision/multimodal capabilities. To use these features, specific files need to be loaded as described.
LLM NameMixtral AI Llava 4bit
Repository 🤗https://huggingface.co/LeroyDyer/Mixtral_AI_llava_4bit 
Base Model(s)  LeroyDyer/Mixtral_AI_Vision-Instruct_X   LeroyDyer/Mixtral_AI_Vision-Instruct_X
Model Size7.2b
Required VRAM14.4 GB
Updated2026-07-16
MaintainerLeroyDyer
Model Typellava
Instruction-BasedYes
Model Files  4.4 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
GGUF QuantizationYes
Quantization Type4bit|gguf
Model ArchitectureLlavaMistralForCausalLM
Licenseapache-2.0
Transformers Version4.49.0
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Torch Data Typefloat16