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Speechless Coder Ds 1.3B by uukuguy

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  Autotrain compatible   Code   Codegen Dataset:ise-uiuc/magicoder-evo... Dataset:ise-uiuc/magicoder-oss...   En   Endpoints compatible   Instruct   Llama   Model-index   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/uukuguy/speechless-coder-ds-1.3b 

Speechless Coder Ds 1.3B Benchmarks

ARC: 26.54 vs 96.7 (so35)-72.6%
HellaSwag: 39.49 vs 95.3 (gpt4)-58.6%
MMLU: 24.85 vs 88.3 (so35)-71.9%
TruthfulQA: 42.12 vs 59 (gpt4)-28.6%
WinoGrande: 53.04 vs 87.5 (gpt4)-39.4%
GSM8K: 2.35 vs 96.4 (so35)-97.6%
LLME Score: 0.22298
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Speechless Coder Ds 1.3B (uukuguy/speechless-coder-ds-1.3b)

Speechless Coder Ds 1.3B Parameters and Internals

Model Type 
text-generation
Training Details 
Data Sources:
ise-uiuc/Magicoder-OSS-Instruct-75K, ise-uiuc/Magicoder-Evol-Instruct-110K
Data Volume:
Total 185,193 samples
Context Length:
8192
Input Output 
Input Format:
Alpaca instruction format.
LLM NameSpeechless Coder Ds 1.3B
Repository 🤗https://huggingface.co/uukuguy/speechless-coder-ds-1.3b 
Model Size1.3b
Required VRAM2.7 GB
Updated2025-02-22
Maintaineruukuguy
Model Typellama
Instruction-BasedYes
Model Files  2.7 GB
Supported Languagesen
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size32256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than uukuguy/speechless-coder-ds-1.3b.

Rank the Speechless Coder Ds 1.3B 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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