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Stable Code 3B by stabilityai

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  Arxiv:1910.02054   Arxiv:2104.09864   Arxiv:2204.06745   Arxiv:2305.06161   Arxiv:2307.09288   Arxiv:2309.12284   Arxiv:2310.10631   Autotrain compatible   Code   Dataset:bigcode/commitpackft   Dataset:bigcode/starcoderdata Dataset:bigcode/the-stack-gith... Dataset:eleutherai/proof-pile-...   Dataset:meta-math/metamathqa Dataset:tiiuae/falcon-refinedw...   En   Endpoints compatible   Gguf   Model-index   Q5   Quantized   Region:us   Safetensors   Sharded   Stablelm   Tensorflow
Model Card on HF 🤗: https://huggingface.co/stabilityai/stable-code-3b 

Stable Code 3B Benchmarks

ARC: 35.32 vs 96.7 (so35)-63.5%
HellaSwag: 57.45 vs 95.3 (gpt4)-39.7%
MMLU: 37.53 vs 88.3 (so35)-57.5%
TruthfulQA: 41.6 vs 59 (gpt4)-29.5%
WinoGrande: 57.7 vs 87.5 (gpt4)-34.1%
GSM8K: 19.56 vs 96.4 (so35)-79.7%
HumanEvalA: 19.06
Python Eva: 30.72 vs 92 (so35)-66.6%
Java Eval: 28.75
Javascript: 31.64
CPP Eval: 29.42
PHP Eval: 23.68
Julia Eval: 21.41
D Eval: 10.09
Lua Eval: 17.54
R Eval: 13.37
Rust Eval: 22.15
LLME Score: 0.24514
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Stable Code 3B (stabilityai/stable-code-3b)
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Stable Code 3B Parameters and Internals

Model Type 
causal-lm, code, text-generation
Use Cases 
Areas:
Research, Commercial applications
Limitations:
The model may exhibit unreliable or undesirable behavior without fine-tuning., Content may be offensive or inappropriate after pre-training.
Considerations:
Evaluation and fine-tuning required prior to deployment for safe performance.
Supported Languages 
English (fluent), Code (specialized in 18 programming languages)
Training Details 
Data Sources:
tiiuae/falcon-refinedweb, bigcode/the-stack-github-issues, bigcode/commitpackft, bigcode/starcoderdata, EleutherAI/proof-pile-2, meta-math/MetaMathQA
Data Volume:
1.3 trillion tokens
Methodology:
Pre-trained using a mixture of large-scale datasets, applying rotary position embeddings for improved throughput.
Context Length:
16384
Hardware Used:
256 NVIDIA A100 40GB GPUs
Model Architecture:
Decoder-only transformer with modifications similar to LLaMA architecture, utilizing Rotary Position Embeddings.
LLM NameStable Code 3B
Repository 🤗https://huggingface.co/stabilityai/stable-code-3b 
Model Size3b
Required VRAM5.6 GB
Updated2025-10-05
Maintainerstabilityai
Model Typestablelm
Model Files  5.0 GB: 1-of-2   0.6 GB: 2-of-2   2.0 GB   2.3 GB   5.6 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q5|q5_k
Model ArchitectureStableLmForCausalLM
Licenseother
Context Length16384
Model Max Length16384
Transformers Version4.38.0
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50304
Torch Data Typebfloat16

Quantized Models of the Stable Code 3B

Model
Likes
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VRAM
Stable Code 3B GGUF3018381 GB
Stable Code 3B GPTQ12241 GB

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Rank the Stable Code 3B 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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Release v20241124
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