Code Millenials 3B 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)
Code Millenials 3B Parameters and Internals
| LLM Name | Code Millenials 3B |
| Repository 🤗 | https://huggingface.co/budecosystem/code-millenials-3b |
| Model Size | 3b |
| Required VRAM | 5.2 GB |
| Updated | 2024-09-07 |
| Maintainer | budecosystem |
| Model Type | mpt |
| Model Files | |
| Model Architecture | MPTForCausalLM |
| Model Max Length | 2048 |
| Transformers Version | 4.33.3 |
| Tokenizer Class | BoomerCodeTokenizer |
| Padding Token | <|pad|> |
| Vocabulary Size | 32768 |
| Torch Data Type | float16 |
Best Alternatives to Code Millenials 3B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Replit Code V1.5 3B | 0K / 6.6 GB | 11960 | 283 |
| Sea Lion 3B | 0K / 6.4 GB | 196 | 13 |
| Mpt 3B 8K Instruct | 0K / 6.9 GB | 8 | 3 |
| Replit Code V1 3B | 0K / 10.4 GB | 246 | 717 |
| Glaive Function Calling V1 | 0K / 10.4 GB | 131 | 66 |
| ...aive Function Calling V2 Small | 0K / 10.4 GB | 9 | 13 |
| Evol Replit V1 | 0K / 10.4 GB | 14 | 8 |
| Replit V2 CodeInstruct 3B | 0K / 10.4 GB | 17 | 72 |
| Replit CodeInstruct V3 | 0K / 10.4 GB | 9 | 2 |
| Replit V1 CodeInstruct 3B | 0K / 10.4 GB | 25 | 36 |
Note: green Score (e.g. "73.2") means that the model is better than budecosystem/code-millenials-3b .
Rank the Code Millenials 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! 🌟
What open-source LLMs or SLMs are you in search of? 35693 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803