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Llama 2 7B Chat GPTQ by gsaivinay

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Model Card on HF 🤗: https://huggingface.co/gsaivinay/Llama-2-7b-Chat-GPTQ 

Llama 2 7B Chat GPTQ Benchmarks

LLME Score: 0.09706
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 2 7B Chat GPTQ (gsaivinay/Llama-2-7b-Chat-GPTQ)
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Llama 2 7B Chat GPTQ Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
commercial, research
Primary Use Cases:
assistant-like chat
Considerations:
Developers should perform safety testing and tuning tailored to their specific applications.
Additional Notes 
Intended for English. Testing conducted mainly in English.
Training Details 
Data Sources:
publicly available online data
Data Volume:
2.0T tokens
Methodology:
The tuned versions use supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF)
Context Length:
4000
Hardware Used:
Meta's Research Super Cluster, third-party cloud compute
Model Architecture:
Auto-regressive transformer architecture
Input Output 
Input Format:
Text prompts following specific formatting with INST and <> tags, BOS and EOS tokens, and whitespaces.
Accepted Modalities:
text
Output Format:
Text generation.
Performance Tips:
Follow formatting guidelines for expected features and performance.
LLM NameLlama 2 7B Chat GPTQ
Repository 🤗https://huggingface.co/gsaivinay/Llama-2-7b-Chat-GPTQ 
Base Model(s)  Llama 2 7B Chat Sft   David-Xu/llama-2-7b-chat-sft
Model Size7b
Required VRAM3.9 GB
Updated2025-09-23
Maintainergsaivinay
Model Typellama
Model Files  3.9 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.30.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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

Rank the Llama 2 7B Chat GPTQ 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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