LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  Agents   Benchmarks   LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Replit V2 CodeInstruct 3B by teknium

 »  All LLMs  »  teknium  »  Replit V2 CodeInstruct 3B   URL Share it on

  25   

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: 0.07768
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)
🌟 Advertise your project 🚀

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
Updated2026-05-25
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 GGML3321 GB

Best Alternatives to Replit V2 CodeInstruct 3B

Best Alternatives
Context / RAM
Downloads
Likes
Replit Code V1.5 3B0K / 6.6 GB2219315
Replit Code V1 3B0K / 10.4 GB1131742
Sea Lion 3B0K / 6.4 GB77817
Code Millenials 3B0K / 5.2 GB181
SEA LION V1 3B0K / 6.4 GB15919
Mpt 3B 8K Instruct0K / 6.9 GB53
Glaive Function Calling V10K / 10.4 GB1775
...aive Function Calling V2 Small0K / 10.4 GB1515
Evol Replit V10K / 10.4 GB108
Replit CodeInstruct V30K / 10.4 GB112
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

🆘 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  

What open-source LLMs or SLMs are you in search of? 53999 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a
  Support LLM Explorer