StarCoder2 15B Instruct V0.1 GGUF by second-state

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StarCoder2 15B Instruct V0.1 GGUF is an open-source language model by second-state. Features: 15b LLM, VRAM: 6.2GB, Context: 16K, License: bigcode-openrail-m, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

Base model:bigcode/starcoder2-... Base model:quantized:bigcode/s...   Code   Conversational   Gguf   Instruct   Q2   Quantized   Region:us   Starcoder2

StarCoder2 15B Instruct V0.1 GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

StarCoder2 15B Instruct V0.1 GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
Multiple quantized versions available with varying quality losses and sizes.
Training Details 
Context Length:
6144
LLM NameStarCoder2 15B Instruct V0.1 GGUF
Repository 🤗https://huggingface.co/second-state/StarCoder2-15B-Instruct-v0.1-GGUF 
Model NameStarCoder2-15B-Instruct-v0.1
Model Creatorbigcode
Base Model(s)  bigcode/starcoder2-15b-instruct-v0.1   bigcode/starcoder2-15b-instruct-v0.1
Model Size15b
Required VRAM6.2 GB
Updated2026-04-27
Maintainersecond-state
Model Typestarcoder2
Instruction-BasedYes
Model Files  6.2 GB   9.0 GB   8.0 GB   7.0 GB   9.1 GB   9.9 GB   9.2 GB   11.0 GB   11.4 GB   11.0 GB   13.1 GB   17.0 GB   31.9 GB
GGUF QuantizationYes
Quantization Typegguf|q2|q4_k|q5_k
Model ArchitectureStarcoder2ForCausalLM
Licensebigcode-openrail-m
Context Length16384
Model Max Length16384
Transformers Version4.39.0.dev0
Vocabulary Size49152
Torch Data Typebfloat16

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Context / RAM
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...rCoder2 15B Instruct V0.1 GGUF16K / 6.2 GB610
Starcoder2 15B Instruct V0.116K / 31.9 GB1150105
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Starcoder2 15B Instruct V0.116K / 53.4 GB160
Dolphincoder Starcoder2 15B16K / 31.9 GB8469
Starcoder2 15B Instruct GPTQ16K / 9.2 GB832
Starcoder2 15B Instruct16K / 31.9 GB347
Note: green Score (e.g. "73.2") means that the model is better than second-state/StarCoder2-15B-Instruct-v0.1-GGUF.

Rank the StarCoder2 15B Instruct V0.1 GGUF 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 v20260328a