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AlchemistCoder DS 6.7B by internlm

 »  All LLMs  »  internlm  »  AlchemistCoder DS 6.7B   URL Share it on

  18   
  Arxiv:2405.19265   Autotrain compatible   Code generation   Conversational   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/internlm/AlchemistCoder-DS-6.7B 

AlchemistCoder DS 6.7B Benchmarks

LLME Score: 0.19093
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AlchemistCoder DS 6.7B (internlm/AlchemistCoder-DS-6.7B)

AlchemistCoder DS 6.7B Parameters and Internals

Model Type 
code generation
Use Cases 
Areas:
code generation
Additional Notes 
Extensive experiments demonstrate superior performance on code benchmarks.
Training Details 
Data Sources:
Multi-source data
Data Volume:
200M tokens
Methodology:
Hindsight tuning with AlchemistPrompts
LLM NameAlchemistCoder DS 6.7B
Repository 🤗https://huggingface.co/internlm/AlchemistCoder-DS-6.7B 
Model Size6.7b
Required VRAM13.5 GB
Updated2025-02-22
Maintainerinternlm
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.34.0
Is Biased0
Tokenizer ClassLlamaTokenizer
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size32256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than internlm/AlchemistCoder-DS-6.7B.

Rank the AlchemistCoder DS 6.7B 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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