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Stable Code Instruct 3B Spider 1500 Steps Q4 by paulo037

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Stable Code Instruct 3B Spider 1500 Steps Q4 is an open-source language model by paulo037. Features: 3b LLM, VRAM: 1.7GB, Context: 16K, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

  Conversational   Endpoints compatible   Gguf   Instruct   Q4   Quantized   Region:us   Stablelm
Model Card on HF 🤗: https://huggingface.co/paulo037/stable-code-instruct-3b-spider-1500-steps-Q4 

Stable Code Instruct 3B Spider 1500 Steps Q4 Benchmarks

LLME Score: 0.13188
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Stable Code Instruct 3B Spider 1500 Steps Q4 (paulo037/stable-code-instruct-3b-spider-1500-steps-Q4)
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Stable Code Instruct 3B Spider 1500 Steps Q4 Parameters and Internals

LLM NameStable Code Instruct 3B Spider 1500 Steps Q4
Repository 🤗https://huggingface.co/paulo037/stable-code-instruct-3b-spider-1500-steps-Q4 
Base Model(s)  ... Instruct 3B Spider 3500 Steps   paulo037/stable-code-instruct-3b-spider-3500-steps
Model Size3b
Required VRAM1.7 GB
Updated2026-05-24
Maintainerpaulo037
Model Typestablelm
Instruction-BasedYes
Model Files  5.6 GB   1.7 GB
GGUF QuantizationYes
Quantization Typegguf|q4
Model ArchitectureStableLmForCausalLM
Context Length16384
Model Max Length16384
Transformers Version4.40.2
Vocabulary Size50301
Torch Data Typefloat32

Best Alternatives to Stable Code Instruct 3B Spider 1500 Steps Q4

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Stable Cypher Instruct 3B16K / 1.7 GB62533
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...t 3B Mix Spider Bird 200 Steps16K / 5.6 GB90
... Instruct 3B Spider 3500 Steps16K / 11.2 GB50
Stable Code Instruct 3B AWQ16K / 1.8 GB60
Stablelm Zephyr 3B4K / 5.6 GB38254261
ReMask 3B4K / 11.2 GB9716
Note: green Score (e.g. "73.2") means that the model is better than paulo037/stable-code-instruct-3b-spider-1500-steps-Q4.

Rank the Stable Code Instruct 3B Spider 1500 Steps Q4 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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