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Llama 2 7B Chat Hf Function Calling V2 by Trelis

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Llama 2 7B Chat Hf Function Calling V2 Benchmarks

LLME Score: 0.16252
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 V2 Parameters and Internals

Model Type 
text generation, function calling
Use Cases 
Areas:
Commercial, Research
Applications:
Assistant-like chat, Natural language generation tasks
Primary Use Cases:
Dialogue optimization, Function calling capabilities
Limitations:
English language only
Considerations:
Testing in English only, unpredictable outputs, safety testing required before deployment.
Additional Notes 
Supports various function calling applications.
Supported Languages 
en (Fluent)
Training Details 
Data Sources:
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:
A100-80GB GPUs
Model Architecture:
Auto-regressive transformer
Input Output 
Input Format:
Text input
Accepted Modalities:
Text
Output Format:
Text generation
Performance Tips:
Provide clear function descriptions, handle incomplete user input appropriately.
Release Notes 
Version:
v2
Date:
2023-11-15
Notes:
Added Yi 200k context models in 6B and 34B form.
Version:
v2
Date:
2023-11-08
Notes:
Added Zephyr beta, improved version of Mistral 7B via DPO.
Version:
v2
Date:
2023-11-06
Notes:
Added Deepseek Coder 1.3B, 6.7B, and 33B with function calling.
Version:
v2
Date:
2023-10-11
Notes:
Added Mistral 7B with function calling.
Version:
v2
Date:
2023-10-11
Notes:
New models trained on an improved underlying dataset.
LLM NameLlama 2 7B Chat Hf Function Calling V2
Repository 🤗https://huggingface.co/Trelis/Llama-2-7b-chat-hf-function-calling-v2 
Model Size7b
Required VRAM13.5 GB
Updated2024-11-16
MaintainerTrelis
Model Typellama
Model Files  0.0 GB   4.1 GB   10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesen
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typeggml|gguf
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
Llama 2 7B Chat Hf Function Calling V2 (Trelis/Llama-2-7b-chat-hf-function-calling-v2)

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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-v2.

Rank the Llama 2 7B Chat Hf Function Calling V2 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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