Arxiv:1910.09700 Autotrain compatible Codegen Endpoints compatible F16 Ggml Gguf Llama Q4 Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/yuiseki/tinyllama-coder-python-en-alpaca-v0.1
Tinyllama Coder Python En Alpaca V0.1 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)
Tinyllama Coder Python En Alpaca V0.1 Parameters and Internals
| LLM Name | Tinyllama Coder Python En Alpaca V0.1 |
| Repository 🤗 | https://huggingface.co/yuiseki/tinyllama-coder-python-en-alpaca-v0.1 |
| Model Size | 1.1b |
| Required VRAM | 0.7 GB |
| Updated | 2025-09-23 |
| Maintainer | yuiseki |
| Model Type | llama |
| Model Files | |
| GGML Quantization | Yes |
| GGUF Quantization | Yes |
| Quantization Type | gguf|ggml|q4|q4_k |
| Generates Code | Yes |
| Model Architecture | LlamaForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.39.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
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Note: green Score (e.g. "73.2") means that the model is better than yuiseki/tinyllama-coder-python-en-alpaca-v0.1 .
Rank the Tinyllama Coder Python En Alpaca V0.1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124