Model Card on HF 🤗: https://huggingface.co/chgk13/decicoder-1b-openvino-int8
Decicoder 1B Openvino Int8 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)
Decicoder 1B Openvino Int8 Parameters and Internals
| LLM Name | Decicoder 1B Openvino Int8 |
| Repository 🤗 | https://huggingface.co/chgk13/decicoder-1b-openvino-int8 |
| Model Size | 1b |
| Required VRAM | 1.1 GB |
| Updated | 2025-02-05 |
| Maintainer | chgk13 |
| Model Type | llama |
| Model Files | |
| Model Architecture | DeciCoderForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.32.0.dev0 |
| Tokenizer Class | GPT2Tokenizer |
| Vocabulary Size | 49152 |
| Torch Data Type | float32 |
Best Alternatives to Decicoder 1B Openvino Int8
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Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| DeciCoder 1B | 2K / 2.2 GB | 2354 | 246 |
| ...oder1B Personal Copilot Merged | 2K / 2.2 GB | 110 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than chgk13/decicoder-1b-openvino-int8 .
Rank the Decicoder 1B Openvino Int8 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227