Model Card on HF 🤗: https://huggingface.co/NaoS2/tinycodellama-0.6b-10k
Tinycodellama 0.6B 10K 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)
Tinycodellama 0.6B 10K Parameters and Internals
| LLM Name | Tinycodellama 0.6B 10K |
| Repository 🤗 | https://huggingface.co/NaoS2/tinycodellama-0.6b-10k |
| Model Size | 0.6b |
| Required VRAM | 2.6 GB |
| Updated | 2025-08-18 |
| Maintainer | NaoS2 |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.36.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <pad|LLM-jp> |
| Vocabulary Size | 50570 |
| Torch Data Type | float32 |
Best Alternatives to Tinycodellama 0.6B 10K
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Chico 0.6B 10K | 2K / 2.4 GB | 5 | 0 |
| Tinycodellama Jp 0.6B 30K V2 | 2K / 2.6 GB | 7 | 0 |
| Tinycodellama Jp 0.6B 20K V3 | 2K / 2.6 GB | 5 | 0 |
| Tinycodellama Jp 0.6B 25K V2 | 2K / 2.6 GB | 8 | 0 |
| Tinycodellama Jp 0.6B 20K 2 | 2K / 2.6 GB | 7 | 0 |
| Tinycodellama Jp 0.6B 25K | 2K / 2.6 GB | 7 | 0 |
| Tinycodellama Jp 0.6B 20K | 2K / 2.6 GB | 7 | 0 |
| Tinycodellama Jp 0.6B 15K | 2K / 2.6 GB | 5 | 0 |
| Tinycodellama 0.6B 1K | 2K / 2.6 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than NaoS2/tinycodellama-0.6b-10k .
Rank the Tinycodellama 0.6B 10K Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124