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Replit V2 CodeInstruct 3B by teknium

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Replit V2 CodeInstruct 3B is an open-source language model by teknium. Features: 3b LLM, VRAM: 10.4GB, License: cc-by-sa-4.0, LLM Explorer Score: 0.08.

  Code   Custom code Dataset:bigcode/the-stack-dedu... Dataset:sahil2801/codealpaca-2... Dataset:teknium/gpteacher-code...   Endpoints compatible   Instruct   Mpt   Pytorch   Region:us   Self-instruct   Sharded
Model Card on HF 🤗: https://huggingface.co/teknium/Replit-v2-CodeInstruct-3B 

Replit V2 CodeInstruct 3B Benchmarks

LLME Score: 0.08069
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Replit V2 CodeInstruct 3B (teknium/Replit-v2-CodeInstruct-3B)
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Replit V2 CodeInstruct 3B Parameters and Internals

Model Type 
code, instruct, self instruct
Supported Languages 
Markdown (proficient), Java (proficient), JavaScript (proficient), Python (proficient), TypeScript (proficient), PHP (proficient), SQL (proficient), JSX (proficient), reStructuredText (proficient), Rust (proficient), C (proficient), CSS (proficient), Go (proficient), C++ (proficient), HTML (proficient), Vue (proficient), Ruby (proficient), Jupyter Notebook (proficient), R (proficient), Shell (proficient)
Training Details 
Data Sources:
bigcode/the-stack-dedup, sahil2801/CodeAlpaca-20k, teknium/GPTeacher-CodeInstruct
Data Volume:
~25,000 code instruction/response pairs
Methodology:
fine-tuning
Context Length:
2000
Training Time:
1 hour
Hardware Used:
2x a100 80gb
Input Output 
Input Format:
### Instruction: ### Input: ### Response: or ### Instruction: ### Response:
Performance Tips:
Use specified sampler settings and tokenizer decode arguments for optimal performance.
LLM NameReplit V2 CodeInstruct 3B
Repository 🤗https://huggingface.co/teknium/Replit-v2-CodeInstruct-3B 
Model Size3b
Required VRAM10.4 GB
Updated2026-04-09
Maintainerteknium
Model Typempt
Model Files  10.0 GB: 1-of-2   0.4 GB: 2-of-2
Supported Languagescode
Model ArchitectureMPTForCausalLM
Licensecc-by-sa-4.0
Model Max Length2000
Transformers Version4.29.2
Tokenizer ClassReplitLMTokenizer
Padding Token<|pad|>
Vocabulary Size32768
Torch Data Typefloat16

Quantized Models of the Replit V2 CodeInstruct 3B

Model
Likes
Downloads
VRAM
Replit V2 CodeInstruct 3B GGML3341 GB

Best Alternatives to Replit V2 CodeInstruct 3B

Best Alternatives
Context / RAM
Downloads
Likes
Replit Code V1.5 3B0K / 6.6 GB158312
Replit Code V1 3B0K / 10.4 GB833742
Sea Lion 3B0K / 6.4 GB77817
Code Millenials 3B0K / 5.2 GB151
SEA LION V1 3B0K / 6.4 GB10819
Mpt 3B 8K Instruct0K / 6.9 GB53
Glaive Function Calling V10K / 10.4 GB2875
...aive Function Calling V2 Small0K / 10.4 GB3815
Evol Replit V10K / 10.4 GB68
Replit CodeInstruct V30K / 10.4 GB62
Note: green Score (e.g. "73.2") means that the model is better than teknium/Replit-v2-CodeInstruct-3B.

Rank the Replit V2 CodeInstruct 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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