Model Card on HF 🤗: https://huggingface.co/sahil2801/Replit-CodeInstruct-v3
Replit CodeInstruct V3 Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Replit CodeInstruct V3 Parameters and Internals
| LLM Name | Replit CodeInstruct V3 |
| Repository 🤗 | https://huggingface.co/sahil2801/Replit-CodeInstruct-v3 |
| Model Size | 3b |
| Required VRAM | 10.4 GB |
| Updated | 2025-09-26 |
| Maintainer | sahil2801 |
| Model Type | mpt |
| Model Files | |
| Model Architecture | MPTForCausalLM |
| Model Max Length | 2048 |
| Transformers Version | 4.28.0 |
| Tokenizer Class | ReplitLMTokenizer |
| Padding Token | <|pad|> |
| Vocabulary Size | 32768 |
| Torch Data Type | float32 |
Best Alternatives to Replit CodeInstruct V3
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Replit Code V1.5 3B | 0K / 6.6 GB | 158 | 305 |
| Replit Code V1 3B | 0K / 10.4 GB | 1298 | 738 |
| SEA LION V1 3B | 0K / 6.4 GB | 1069 | 18 |
| Sea Lion 3B | 0K / 6.4 GB | 778 | 17 |
| Code Millenials 3B | 0K / 5.2 GB | 3 | 1 |
| Mpt 3B 8K Instruct | 0K / 6.9 GB | 5 | 3 |
| Glaive Function Calling V1 | 0K / 10.4 GB | 2 | 72 |
| ...aive Function Calling V2 Small | 0K / 10.4 GB | 7 | 14 |
| Evol Replit V1 | 0K / 10.4 GB | 1 | 8 |
| Replit V2 CodeInstruct 3B | 0K / 10.4 GB | 6 | 71 |
Note: green Score (e.g. "73.2") means that the model is better than sahil2801/Replit-CodeInstruct-v3 .
Rank the Replit CodeInstruct V3 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124