Llama 2 7B Claude Instruct by Norquinal

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  Autotrain compatible Dataset:norquinal/claude multi...   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Sharded

Llama 2 7B Claude Instruct 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 Claude Instruct (Norquinal/llama-2-7b-claude-instruct)
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Llama 2 7B Claude Instruct Parameters and Internals

Model Type 
Text Generation
Additional Notes 
Do not take this model very seriously, it is probably not very good. It's a fun project without a guarantee of high performance.
Training Details 
Data Sources:
Norquinal/claude_multi_instruct_1k
Methodology:
Fine-tuned using QLoRA (4-bit precision)
Input Output 
Input Format:
Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: {instruction} ### Response:
LLM NameLlama 2 7B Claude Instruct
Repository ๐Ÿค—https://huggingface.co/Norquinal/llama-2-7b-claude-instruct 
Model Size7b
Required VRAM13.5 GB
Updated2025-09-23
MaintainerNorquinal
Model Typellama
Instruction-BasedYes
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
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 Norquinal/llama-2-7b-claude-instruct.

Rank the Llama 2 7B Claude Instruct 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124