Model Card on HF 🤗: https://huggingface.co/sahil2801/replit-code-instruct-glaive
Replit Code Instruct Glaive 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 Code Instruct Glaive Parameters and Internals
| LLM Name | Replit Code Instruct Glaive |
| Repository 🤗 | https://huggingface.co/sahil2801/replit-code-instruct-glaive |
| Required VRAM | 10.4 GB |
| Updated | 2024-09-08 |
| Maintainer | sahil2801 |
| Model Type | mpt |
| Instruction-Based | Yes |
| 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 Code Instruct Glaive
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| WangchanLion7B | 0K / 29.8 GB | 13 | 8 |
Note: green Score (e.g. "73.2") means that the model is better than sahil2801/replit-code-instruct-glaive .
Rank the Replit Code Instruct Glaive Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124