Code Jamba V0.1 by ajibawa-2023

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  Autotrain compatible   C++   Code   Conversational   Custom code Dataset:ajibawa-2023/code-290k...   Dataset:m-a-p/code-feedback   En   Endpoints compatible   Jamba   Julia   Python   R   Region:us   Ruby   Rust   Safetensors   Sharded   Sql   Tensorflow

Code Jamba V0.1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Code Jamba V0.1 (ajibawa-2023/Code-Jamba-v0.1)

Code Jamba V0.1 Parameters and Internals

Model Type 
code generation
Use Cases 
Areas:
code generation, detailed explanation of code
Applications:
Python, Java, JavaScript, GO, C++, Rust, Ruby, Sql, MySql, R, Julia, Haskell
Additional Notes 
Example output for prompts will be updated soon.
Supported Languages 
english (fluent)
Training Details 
Data Sources:
Code-290k-ShareGPT, Code-Feedback
Methodology:
Finetuning
Training Time:
162 hours
Hardware Used:
2 x H100 94GB GPUs
Model Architecture:
qlora
Input Output 
Input Format:
ChatML prompt format
Accepted Modalities:
text
Output Format:
text
Performance Tips:
You can modify the ChatML Prompt as per your requirement
LLM NameCode Jamba V0.1
Repository ๐Ÿค—https://huggingface.co/ajibawa-2023/Code-Jamba-v0.1 
Model Size51.6b
Required VRAM103.4 GB
Updated2024-12-21
Maintainerajibawa-2023
Model Typejamba
Model Files  5.0 GB: 1-of-21   4.9 GB: 2-of-21   5.0 GB: 3-of-21   5.0 GB: 4-of-21   5.0 GB: 5-of-21   4.9 GB: 6-of-21   4.9 GB: 7-of-21   5.0 GB: 8-of-21   4.9 GB: 9-of-21   4.9 GB: 10-of-21   4.9 GB: 11-of-21   4.9 GB: 12-of-21   4.9 GB: 13-of-21   5.0 GB: 14-of-21   4.9 GB: 15-of-21   4.9 GB: 16-of-21   4.9 GB: 17-of-21   4.9 GB: 18-of-21   5.0 GB: 19-of-21   4.9 GB: 20-of-21   4.7 GB: 21-of-21
Supported Languagesen
Model ArchitectureJambaForCausalLM
Licenseapache-2.0
Transformers Version4.40.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<|pad|>
Vocabulary Size65536
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ajibawa-2023/Code-Jamba-v0.1.

Rank the Code Jamba V0.1 Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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 v20241217