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Speechless Coder Ds 6.7B by uukuguy

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  Autotrain compatible   Code   Codegen Dataset:ise-uiuc/magicoder-evo... Dataset:ise-uiuc/magicoder-oss...   En   Endpoints compatible   Gguf   Instruct   Llama   Model-index   Pytorch   Region:us   Sharded

Speechless Coder Ds 6.7B Benchmarks

MMLU Pro: 7.99
GPQA: 1.9
MUSR: 5.34
BBH: 15.9
IFEval: 25.05 vs 88 (so35)-71.5%
ARC: 36.86 vs 96.7 (so35)-61.9%
HellaSwag: 52.46 vs 95.3 (gpt4)-45%
MMLU: 38.08 vs 88.3 (so35)-56.9%
TruthfulQA: 41.67 vs 59 (gpt4)-29.4%
WinoGrande: 58.88 vs 87.5 (gpt4)-32.7%
GSM8K: 18.73 vs 96.4 (so35)-80.6%
MATH Lvl 5: 1.66
LLME Score: 0.25375
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 6.7B Parameters and Internals

Model Type 
text-generation
Use Cases 
Primary Use Cases:
Code generation and assistance
Additional Notes 
Improves model's reasoning and planning abilities.
Training Details 
Data Sources:
ise-uiuc/Magicoder-OSS-Instruct-75K, ise-uiuc/Magicoder-Evol-Instruct-110K
Data Volume:
185,193 samples
Methodology:
Fine-tuning deepseek-ai/deepseek-coder-6.7b to improve reasoning and planning abilities
Context Length:
8192
Input Output 
Input Format:
Alpaca instruction format
Accepted Modalities:
text
Output Format:
text
LLM NameSpeechless Coder Ds 6.7B
Repository 🤗https://huggingface.co/uukuguy/speechless-coder-ds-6.7b 
Model Size6.7b
Required VRAM13.5 GB
Updated2024-11-21
Maintaineruukuguy
Model Typellama
Instruction-BasedYes
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
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
Speechless Coder Ds 6.7B (uukuguy/speechless-coder-ds-6.7b)

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Note: green Score (e.g. "73.2") means that the model is better than uukuguy/speechless-coder-ds-6.7b.

Rank the Speechless Coder 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 v20241110
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