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Llama 2 7B Chat Hf Function Calling GPTQ by Trelis

 »  All LLMs  »  Trelis  »  Llama 2 7B Chat Hf Function Calling GPTQ   URL Share it on

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  Arxiv:2307.09288   4bit   Autotrain compatible   En   Facebook   Function calling   Functions   Ggml   Gptq   Llama   Llama2   Meta   Pytorch   Quantized   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Trelis/Llama-2-7b-chat-hf-function-calling-GPTQ 

Llama 2 7B Chat Hf Function Calling GPTQ Benchmarks

LLME Score: 0.1045
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 Hf Function Calling GPTQ (Trelis/Llama-2-7b-chat-hf-function-calling-GPTQ)
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Llama 2 7B Chat Hf Function Calling GPTQ Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Commercial, Research
Applications:
Assistant-like chat
Primary Use Cases:
Assistant-like chat, Research
Limitations:
English only
Considerations:
Format inputs specifically to use chat versions; adhering to terms and ethical guidelines.
Training Details 
Data Sources:
Trelis Function Calling Extended Dataset
Data Volume:
2 trillion tokens
Methodology:
Supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF)
Context Length:
4000
Hardware Used:
A100-80GB GPUs
Model Architecture:
Auto-regressive language model using an optimized transformer architecture
Safety Evaluation 
Methodologies:
Evaluation on safety datasets like TruthfulQA and Toxigen
Risk Categories:
misinformation, bias
Ethical Considerations:
Model carries risks with use; may produce inaccurate, biased, or objectionable responses.
Responsible Ai Considerations 
Accountability:
Developers should perform safety testing and tuning tailored to their specific applications.
Mitigation Strategies:
SFT and RLHF to align to human preferences.
Input Output 
Input Format:
Text only
Accepted Modalities:
text
Output Format:
Text only
Performance Tips:
Use specific formatting including 'INST' and '<>' tags, and other tokens for best performance.
LLM NameLlama 2 7B Chat Hf Function Calling GPTQ
Repository 🤗https://huggingface.co/Trelis/Llama-2-7b-chat-hf-function-calling-GPTQ 
Base Model(s)  ...7B Chat Hf Function Calling V3   Trelis/Llama-2-7b-chat-hf-function-calling-v3
Model Size7b
Required VRAM3.9 GB
Updated2025-08-19
MaintainerTrelis
Model Typellama
Model Files  3.9 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.32.0.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 Trelis/Llama-2-7b-chat-hf-function-calling-GPTQ.

Rank the Llama 2 7B Chat Hf Function Calling 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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