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Llama 2 7B Chat GPTQ by localmodels

 »  All LLMs  »  localmodels  »  Llama 2 7B Chat GPTQ   URL Share it on

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  4bit   Autotrain compatible   Endpoints compatible   Gptq   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/localmodels/Llama-2-7B-Chat-GPTQ 

Llama 2 7B Chat GPTQ Benchmarks

LLME Score: 0.09723
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 (localmodels/Llama-2-7B-Chat-GPTQ)
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Llama 2 7B Chat GPTQ Parameters and Internals

Model Type 
generative text model
Use Cases 
Areas:
commercial, research
Applications:
assistant-like chat, natural language generation tasks
Considerations:
A specific formatting needs to be followed for chat versions to get expected features.
Additional Notes 
Pretrained models can be adapted for a variety of natural language generation tasks. Out-of-scope uses include violation of laws, non-English languages, and prohibited uses by the Acceptable Use Policy.
Training Details 
Data Sources:
A new mix of publicly available online data
Data Volume:
2 trillion tokens
Methodology:
Supervised fine-tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF)
Context Length:
4000
Hardware Used:
Meta's Research Super Cluster, production clusters, third-party cloud compute, A100-80GB GPUs
Model Architecture:
Optimized transformer architecture
Safety Evaluation 
Ethical Considerations:
Llama 2 may produce inaccurate, biased or objectionable responses. Testing conducted has not covered all scenarios.
Responsible Ai Considerations 
Mitigation Strategies:
Safety testing and tuning should be done before deploying.
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Follow specific formatting including INST, <>, BOS, EOS tokens, etc. for chat versions.
LLM NameLlama 2 7B Chat GPTQ
Repository 🤗https://huggingface.co/localmodels/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
Maintainerlocalmodels
Model Typellama
Model Files  3.9 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
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 localmodels/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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