Autotrain compatible Code Custom code Dataset:bigcode/the-stack-dedu... Dataset:sahil2801/codealpaca-2... Dataset:teknium/gpteacher-code... Endpoints compatible Fp16 Instruct Mpt Pytorch Quantized Region:us Self-instruct
Replit V1 CodeInstruct 3B Fp16 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 V1 CodeInstruct 3B Fp16 Parameters and Internals
| LLM Name | Replit V1 CodeInstruct 3B Fp16 |
| Repository 🤗 | https://huggingface.co/teknium/Replit-v1-CodeInstruct-3B-fp16 |
| Base Model(s) | |
| Model Size | 3b |
| Required VRAM | 5.2 GB |
| Updated | 2024-09-07 |
| Maintainer | teknium |
| Model Type | mpt |
| Model Files | |
| Supported Languages | code |
| Quantization Type | fp16 |
| Model Architecture | MPTForCausalLM |
| License | cc-by-sa-4.0 |
| Model Max Length | 512 |
| Transformers Version | 4.29.2 |
| Tokenizer Class | ReplitLMTokenizer |
| Padding Token | <|pad|> |
| Vocabulary Size | 32769 |
| Torch Data Type | float16 |
Best Alternatives to Replit V1 CodeInstruct 3B Fp16
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Replit Code V1.5 3B | 0K / 6.6 GB | 11960 | 283 |
| Code Millenials 3B | 0K / 5.2 GB | 25 | 1 |
| 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 GGML | 0K / 1.5 GB | 18 | 33 |
| Replit V2 CodeInstruct 3B | 0K / 10.4 GB | 17 | 72 |
Note: green Score (e.g. "73.2") means that the model is better than teknium/Replit-v1-CodeInstruct-3B-fp16 .
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803