Autotrain compatible Custom code Dataset:mhhmm/leetcode-solutio... Endpoints compatible Mpt Pytorch Region:us
Replit Leetcode 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 Leetcode Parameters and Internals
| LLM Name | Replit Leetcode |
| Repository 🤗 | https://huggingface.co/matorus/replit-leetcode |
| Required VRAM | 5.2 GB |
| Updated | 2024-09-07 |
| Maintainer | matorus |
| Model Type | mpt |
| Model Files | |
| Model Architecture | MPTForCausalLM |
| Model Max Length | 2048 |
| Transformers Version | 4.30.2 |
| Tokenizer Class | ReplitLMTokenizer |
| Padding Token | <|pad|> |
| Vocabulary Size | 32768 |
| Torch Data Type | bfloat16 |
Best Alternatives to Replit Leetcode
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Tiny Mpt Random Remote Code | 0K / 0 GB | 12850 | 0 |
| WangchanLion7B | 0K / 29.8 GB | 17 | 5 |
| Replit Code Instruct Glaive | 0K / 10.4 GB | 9 | 88 |
| Results Sharded Bf16 5GB | 0K / 13.4 GB | 8 | 0 |
| Replit Coder | 0K / 5.2 GB | 11 | 0 |
| Replit Openorca | 0K / 5.2 GB | 7 | 5 |
| Gpt4all Mpt | 0K / 26.6 GB | 12 | 10 |
| Mpt Mini Shakespeare | 0K / 0 GB | 10 | 1 |
| PhoGPT 7B5 GGUF | 0K / 17 GB | 21 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than matorus/replit-leetcode .
Rank the Replit Leetcode Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803