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Llama2 7B Chat Hf Jlama Q4 by tjake

 »  All LLMs  »  tjake  »  Llama2 7B Chat Hf Jlama Q4   URL Share it on

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Llama2 7B Chat Hf Jlama Q4 is an open-source language model by tjake. Features: 7b LLM, VRAM: 5.1GB, Context: 4K, Quantized, LLM Explorer Score: 0.11.

  Arxiv:2307.09288   Autotrain compatible   Conversational   En   Facebook   Llama   Llama2   Meta   Pytorch   Q4   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/tjake/llama2-7b-chat-hf-jlama-Q4 

Llama2 7B Chat Hf Jlama Q4 Benchmarks

LLME Score: 0.10946
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama2 7B Chat Hf Jlama Q4 (tjake/llama2-7b-chat-hf-jlama-Q4)
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Llama2 7B Chat Hf Jlama Q4 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Research, Commercial applications
Applications:
Natural Language Generation tasks, Assistant-like chat
Primary Use Cases:
Dialogue use cases, Chat models
Limitations:
Use in languages other than English, Violations of applicable laws or Acceptable Use Policy
Considerations:
Developers should perform safety testing and tuning tailored to specific applications.
Additional Notes 
This is a static model trained on an offline dataset.
Training Details 
Data Sources:
publicly available online data
Data Volume:
2.0 trillion tokens
Methodology:
Supervised Fine-Tuning and Reinforcement Learning with Human Feedback (RLHF)
Context Length:
4000
Hardware Used:
A100-80GB GPUs
Model Architecture:
Auto-regressive language model with optimized transformer architecture
Safety Evaluation 
Ethical Considerations:
Llama 2 is a new technology that carries risks with use. Potential outputs cannot be predicted in advance. Developers should perform safety testing tailored to specific applications.
Input Output 
Input Format:
Text-only
Accepted Modalities:
Text
Output Format:
Text generation
Performance Tips:
Use specific formatting for chat versions including the INST and <> tags.
LLM NameLlama2 7B Chat Hf Jlama Q4
Repository 🤗https://huggingface.co/tjake/llama2-7b-chat-hf-jlama-Q4 
Model Size7b
Required VRAM5.1 GB
Updated2025-09-23
Maintainertjake
Model Typellama
Model Files  5.1 GB
Supported Languagesen
Quantization Typeq4
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.29.2
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 tjake/llama2-7b-chat-hf-jlama-Q4.

Rank the Llama2 7B Chat Hf Jlama Q4 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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