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Candle Llava V1.6 Mistral 7B by DanielClough

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Candle Llava V1.6 Mistral 7B is an open-source language model by DanielClough. Features: 7b LLM, VRAM: 15.1GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

  Conversational   Endpoints compatible   Gguf   Image-text-to-text   Instruct   Llava   Llava mistral   Q4   Quantized   Region:us   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DanielClough/Candle_llava-v1.6-mistral-7b 

Candle Llava V1.6 Mistral 7B Benchmarks

LLME Score: 0.12882
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Candle Llava V1.6 Mistral 7B (DanielClough/Candle_llava-v1.6-mistral-7b)
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Candle Llava V1.6 Mistral 7B Parameters and Internals

LLM NameCandle Llava V1.6 Mistral 7B
Repository 🤗https://huggingface.co/DanielClough/Candle_llava-v1.6-mistral-7b 
Base Model(s)  liuhaotian/llava-v1.6-mistral-7b   liuhaotian/llava-v1.6-mistral-7b
Model Size7b
Required VRAM15.1 GB
Updated2026-04-01
MaintainerDanielClough
Model Typellava_mistral
Instruction-BasedYes
Model Files  15.1 GB   2.5 GB   3.3 GB   4.3 GB   4.7 GB   4.3 GB   5.2 GB   5.7 GB   5.2 GB   6.2 GB   8.0 GB   8.5 GB   8.6 GB   4.9 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   0.3 GB: 4-of-4
GGUF QuantizationYes
Quantization Typeq4|gguf
Model ArchitectureLlavaMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than DanielClough/Candle_llava-v1.6-mistral-7b.

Rank the Candle Llava V1.6 Mistral 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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