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Firefly Internlm 7B by YeungNLP

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  Custom code   Feature-extraction   Internlm   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/YeungNLP/firefly-internlm-7b 

Firefly Internlm 7B Benchmarks

LLME Score: 0.12695
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Firefly Internlm 7B (YeungNLP/firefly-internlm-7b)

Firefly Internlm 7B Parameters and Internals

Model Type 
text generation
Training Details 
Data Sources:
moss data and other datasets consisting of over a million dialogue pairs
Data Volume:
over one million dialogue pairs
Methodology:
fine-tuning of internlm-7b using provided moss data and others
Input Output 
Input Format:
text input from user through command line
Accepted Modalities:
text
Output Format:
text response
Performance Tips:
N/A
LLM NameFirefly Internlm 7B
Repository 🤗https://huggingface.co/YeungNLP/firefly-internlm-7b 
Model Size7b
Required VRAM14.7 GB
Updated2025-02-05
MaintainerYeungNLP
Model Typeinternlm
Model Files  10.0 GB: 1-of-2   4.7 GB: 2-of-2
Model ArchitectureInternLMForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.30.2
Is Biased1
Tokenizer ClassInternLMTokenizer
Padding Token</s>
Vocabulary Size103168
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than YeungNLP/firefly-internlm-7b.

Rank the Firefly Internlm 7B 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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Release v20241227
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