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Felix 8B V2 by ontocord

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  Autotrain compatible   Conversational   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ontocord/Felix-8B-v2 

Felix 8B V2 Benchmarks

LLME Score: 0.16688
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Felix 8B V2 (ontocord/Felix-8B-v2)

Felix 8B V2 Parameters and Internals

Model Type 
text generation
Additional Notes 
Felix-8B-v2 is an experimental and research work product. Identical to Felix-8B with modifications to tags to reduce verbosity.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
synthetic data
Methodology:
auto-purpleteaming, DPO reinforcement learning
LLM NameFelix 8B V2
Repository 🤗https://huggingface.co/ontocord/Felix-8B-v2 
Model Size8b
Required VRAM17.9 GB
Updated2025-05-12
Maintainerontocord
Model Typemistral
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   3.1 GB: 4-of-4
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ontocord/Felix-8B-v2.

Rank the Felix 8B V2 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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Release v20241227
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