Arxiv:2204.05999 Autotrain compatible Code Endpoints compatible Javascript Python Pytorch Region:us Xglm
Model Card on HF 🤗: https://huggingface.co/facebook/incoder-6B
Incoder 6B 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)
Incoder 6B Parameters and Internals
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| LLM Name | Incoder 6B |
| Repository 🤗 | https://huggingface.co/facebook/incoder-6B |
| Model Size | 6b |
| Required VRAM | 26.6 GB |
| Updated | 2025-08-23 |
| Maintainer | |
| Model Type | xglm |
| Model Files | |
| Model Architecture | XGLMForCausalLM |
| License | cc-by-nc-4.0 |
| Context Length | 2049 |
| Model Max Length | 2049 |
| Transformers Version | 4.18.0.dev0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 50518 |
| Torch Data Type | float32 |
| Activation Function | gelu |
Rank the Incoder 6B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124