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Deepseek Coder 1.3B Chat by AIGym

 »  All LLMs  »  AIGym  »  Deepseek Coder 1.3B Chat   URL Share it on

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  Autotrain compatible   Codegen   Conversational   Endpoints compatible   Finetuned   Llama   Model-index   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/AIGym/deepseek-coder-1.3b-chat 

Deepseek Coder 1.3B Chat Benchmarks

ARC: 25.6 vs 96.7 (so35)-73.5%
HellaSwag: 39.69 vs 95.3 (gpt4)-58.4%
MMLU: 25.54 vs 88.3 (so35)-71.1%
TruthfulQA: 43.94 vs 59 (gpt4)-25.5%
WinoGrande: 51.46 vs 87.5 (gpt4)-41.2%
GSM8K: 3.18 vs 96.4 (so35)-96.7%
LLME Score: 0.20136
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Deepseek Coder 1.3B Chat (AIGym/deepseek-coder-1.3b-chat)

Deepseek Coder 1.3B Chat Parameters and Internals

Model Type 
text-generation
Use Cases 
Primary Use Cases:
asking questions about code
Additional Notes 
This model serves as a stepping stone for further training and improvements.
Training Details 
Data Sources:
open assistant dataset
Methodology:
fine-tuned to allow it to follow direction
Input Output 
Performance Tips:
The model is fine-tuned for following directions and is best used for generating responses to questions about code.
LLM NameDeepseek Coder 1.3B Chat
Repository 🤗https://huggingface.co/AIGym/deepseek-coder-1.3b-chat 
Model Size1.3b
Required VRAM2.7 GB
Updated2024-12-12
MaintainerAIGym
Model Typellama
Model Files  2.7 GB
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size32256
Torch Data Typebfloat16

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Hpc Coder V2.1.3B16K / 2.7 GB724
Note: green Score (e.g. "73.2") means that the model is better than AIGym/deepseek-coder-1.3b-chat.

Rank the Deepseek Coder 1.3B Chat Capabilities

🆘 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! 🌟

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 v20241227
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