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Llama 2 7B Chat Hf Function Calling V3 by Trelis

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Llama 2 7B Chat Hf Function Calling V3 is an open-source language model by Trelis. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, LLM Explorer Score: 0.12.

  Arxiv:2307.09288   Conversational   En   Facebook   Function calling   Function-calling   Gguf   Llama   Llama2   Meta   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Trelis/Llama-2-7b-chat-hf-function-calling-v3 

Llama 2 7B Chat Hf Function Calling V3 Benchmarks

LLME Score: 0.11649
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 V3 (Trelis/Llama-2-7b-chat-hf-function-calling-v3)
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Llama 2 7B Chat Hf Function Calling V3 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
commercial, research
Primary Use Cases:
assistant-like chat, natural language generation tasks
Limitations:
Limited testing in non-English languages, potential for biased responses
Considerations:
before deployment, developers should perform safety testing
Training Details 
Data Volume:
2 trillion tokens
Methodology:
supervised fine-tuning and reinforcement learning with human feedback
Context Length:
4096
Hardware Used:
1500+ GPUs on Meta's Research Super Cluster
Model Architecture:
optimized transformer
Safety Evaluation 
Methodologies:
internal evaluations, human evaluations
Findings:
outperformed open-source chat models, on par with some popular closed-source models
Risk Categories:
misinformation, bias
Ethical Considerations:
not tested for languages other than English, potential for inaccurate or biased responses
Responsible Ai Considerations 
Mitigation Strategies:
developers should perform safety testing and tuning tailored to their applications
Input Output 
Input Format:
text
Output Format:
text
Performance Tips:
Use correct formatting including `INST` and `<>` tags, `BOS` and `EOS` tokens
LLM NameLlama 2 7B Chat Hf Function Calling V3
Repository 🤗https://huggingface.co/Trelis/Llama-2-7b-chat-hf-function-calling-v3 
Model Size7b
Required VRAM13.5 GB
Updated2026-02-21
MaintainerTrelis
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Llama 2 7B Chat Hf Function Calling V3

Model
Likes
Downloads
VRAM
...hat Hf Function Calling V3 AWQ1593 GB
...at Hf Function Calling V3 GGUF22172 GB
... Chat Hf Function Calling GPTQ4263 GB
... 2 7B Chat Hf Function Calling48913 GB

Best Alternatives to Llama 2 7B Chat Hf Function Calling V3

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Context / RAM
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Likes
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A6 L1024K / 16.1 GB2010
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A2.41024K / 16.1 GB120
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2 Very Sci Fi1024K / 16.1 GB3170
Note: green Score (e.g. "73.2") means that the model is better than Trelis/Llama-2-7b-chat-hf-function-calling-v3.

Rank the Llama 2 7B Chat Hf Function Calling V3 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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