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Llama 2 7B Chat Hf 4bitnogs Hqq by mobiuslabsgmbh

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Model Card on HF 🤗: https://huggingface.co/mobiuslabsgmbh/Llama-2-7b-chat-hf_4bitnogs_hqq 

Llama 2 7B Chat Hf 4bitnogs Hqq Benchmarks

LLME Score: 0.16353
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Llama 2 7B Chat Hf 4bitnogs Hqq Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research, Commercial Applications
Applications:
Text Generation, Dialogue Systems
Primary Use Cases:
Writing Essays, Joke Generation, Recipe Generation
Additional Notes 
The model uses a low-rank adapter and is compatible with all kernels that operate along axis=1.
Input Output 
Input Format:
Text prompts
Accepted Modalities:
text
Output Format:
Generated text
Performance Tips:
Ensure sufficient cache to handle longer context for better performance.
LLM NameLlama 2 7B Chat Hf 4bitnogs Hqq
Repository 🤗https://huggingface.co/mobiuslabsgmbh/Llama-2-7b-chat-hf_4bitnogs_hqq 
Model Size7b
Required VRAM3.8 GB
Updated2025-06-09
Maintainermobiuslabsgmbh
Model Typellama
Model Files  3.8 GB
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.39.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Llama 2 7B Chat Hf 4bitnogs Hqq (mobiuslabsgmbh/Llama-2-7b-chat-hf_4bitnogs_hqq)

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Note: green Score (e.g. "73.2") means that the model is better than mobiuslabsgmbh/Llama-2-7b-chat-hf_4bitnogs_hqq.

Rank the Llama 2 7B Chat Hf 4bitnogs Hqq 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 v20241124
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