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Stablelm Base Alpha 3B by stabilityai

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Stablelm Base Alpha 3B is an open-source language model by stabilityai. Features: 3b LLM, VRAM: 14.9GB, Context: 4K, License: cc-by-sa-4.0, LLM Explorer Score: 0.13, Arc: 26.5, HellaSwag: 42.2, MMLU: 25.4, GSM8K: 0.5.

  Deploy:azure   En   Endpoints compatible   Gpt neox   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/stabilityai/stablelm-base-alpha-3b 

Stablelm Base Alpha 3B Benchmarks

ARC: 26.45 vs 96.7 (so35)-72.6%
HellaSwag: 42.24 vs 95.3 (gpt4)-55.7%
MMLU: 25.43 vs 88.3 (so35)-71.2%
GSM8K: 0.45 vs 96.4 (so35)-99.5%
LLME Score: 0.1346
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Stablelm Base Alpha 3B (stabilityai/stablelm-base-alpha-3b)
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Stablelm Base Alpha 3B Parameters and Internals

Model Type 
causal-lm
Use Cases 
Primary Use Cases:
Foundational models for application-specific fine-tuning
Limitations:
The pre-training dataset may contain offensive or inappropriate content., Exercise caution in production systems., Do not use for applications causing harm or distress.
Additional Notes 
Models have been superseded by later releases.
Supported Languages 
en (fluent)
Training Details 
Data Sources:
New experimental dataset based on The Pile
Data Volume:
Approximately 1.5 trillion tokens
Methodology:
Auto-regressive language model based on NeoX transformer architecture
Context Length:
4096
Model Architecture:
NeoX transformer architecture
LLM NameStablelm Base Alpha 3B
Repository 🤗https://huggingface.co/stabilityai/stablelm-base-alpha-3b 
Model Size3b
Required VRAM14.9 GB
Updated2026-05-04
Maintainerstabilityai
Model Typegpt_neox
Model Files  10.2 GB: 1-of-2   4.7 GB: 2-of-2
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Licensecc-by-sa-4.0
Context Length4096
Model Max Length4096
Transformers Version4.27.4
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50688
Torch Data Typefloat32

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Rank the Stablelm Base Alpha 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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