Llama 2 7B Chat Finetune by AjayMukundS

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  Autotrain compatible Dataset:mlabonne/guanaco-llama...   En   Endpoints compatible   Finetuned   Llama   Pytorch   Region:us   Sharded

Llama 2 7B Chat Finetune Benchmarks

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 Finetune (AjayMukundS/Llama-2-7b-chat-finetune)

Llama 2 7B Chat Finetune Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model uses a unique chat templating structure as part of the fine-tuned training process.
Supported Languages 
en (English)
Training Details 
Data Sources:
OpenAssistant-Guanaco, mlabonne/Guanaco-Llama2-1k
Methodology:
Fine-tuning with a human-assistant chat dataset, utilizing QLoRA for 4-bit precision finetuning.
Hardware Used:
L4 (Google Colab Pro)
Model Architecture:
Llama 2 chat model structure with modifications for template-based instruction processing.
Input Output 
Input Format:
User Prompt structured with Llama 2 specific templating syntax.
Accepted Modalities:
text
Output Format:
Generated text responding to the given User Prompt.
LLM NameLlama 2 7B Chat Finetune
Repository ๐Ÿค—https://huggingface.co/AjayMukundS/Llama-2-7b-chat-finetune 
Model Size7b
Required VRAM13.5 GB
Updated2025-02-22
MaintainerAjayMukundS
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.31.0
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 AjayMukundS/Llama-2-7b-chat-finetune.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227