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Filiberto 7B Instruct Exp1 by versae

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Model Card on HF 🤗: https://huggingface.co/versae/filiberto-7B-instruct-exp1 

Filiberto 7B Instruct Exp1 Benchmarks

LLME Score: 0.14662
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Filiberto 7B Instruct Exp1 (versae/filiberto-7B-instruct-exp1)
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Filiberto 7B Instruct Exp1 Parameters and Internals

Model Type 
text generation
Additional Notes 
The model was converted to MLX format using mlx-lm version 0.9.0.
LLM NameFiliberto 7B Instruct Exp1
Repository 🤗https://huggingface.co/versae/filiberto-7B-instruct-exp1 
Model Size7b
Required VRAM14.5 GB
Updated2025-09-23
Maintainerversae
Model Typemistral
Instruction-BasedYes
Model Files  14.5 GB   29.0 GB   5.3 GB: 1-of-3   5.3 GB: 2-of-3   3.9 GB: 3-of-3   4.1 GB
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typegguf|ggml|q4
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than versae/filiberto-7B-instruct-exp1.

Rank the Filiberto 7B Instruct Exp1 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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