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Fava Model by fava-uw

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Fava Model is an open-source language model by fava-uw. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: mit, LLM Explorer Score: 0.11.

  Endpoints compatible   Llama   Pytorch   Region:us   Sharded   Tensorboard
Model Card on HF 🤗: https://huggingface.co/fava-uw/fava-model 

Fava Model Benchmarks

LLME Score: 0.10968
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Fava Model (fava-uw/fava-model)
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Fava Model Parameters and Internals

Model Type 
verification
Additional Notes 
The model is used for verifying texts against given evidence, identifying errors, and suggesting edits based on that evidence.
Input Output 
Input Format:
Prompts with placeholders for evidence and output
Accepted Modalities:
text
Output Format:
Text output with identified errors and suggested edits
LLM NameFava Model
Repository 🤗https://huggingface.co/fava-uw/fava-model 
Model Size7b
Required VRAM13.5 GB
Updated2026-01-18
Maintainerfava-uw
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32001
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than fava-uw/fava-model.

Rank the Fava Model Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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