Model Type |
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Additional Notes |
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Training Details |
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LLM Name | Tinyllama PY CODER 4bit Lora 4k V4 |
Repository ๐ค | https://huggingface.co/Ramikan-BR/tinyllama_PY-CODER-4bit-lora_4k-v4 |
Base Model(s) | |
Model Size | 1.1b |
Required VRAM | 0.7 GB |
Updated | 2025-02-15 |
Maintainer | Ramikan-BR |
Model Type | llama |
Model Files | |
Supported Languages | en |
GGUF Quantization | Yes |
Quantization Type | gguf|q4|4bit |
Generates Code | Yes |
Model Architecture | LlamaForCausalLM |
License | apache-2.0 |
Context Length | 4096 |
Model Max Length | 4096 |
Transformers Version | 4.40.1 |
Tokenizer Class | LlamaTokenizer |
Padding Token | <unk> |
Vocabulary Size | 32000 |
LoRA Model | Yes |
Torch Data Type | float16 |
Model |
Likes |
Downloads |
VRAM |
---|---|---|---|
...llama PY CODER 4bit Lora 4k V5 | 0 | 142 | 0 GB |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
Tinyllama Coder Py V13 | 4K / 0.7 GB | 227 | 0 |
Tinyllama Coder Py V12 | 4K / 0.7 GB | 236 | 0 |
Tinyllama Coder Py 4bit V3 | 4K / 1.2 GB | 141 | 0 |
Tinyllama Coder Py 4bit V4 | 4K / 1.2 GB | 119 | 0 |
Tinyllama Coder Py 4bit V10 | 4K / 0.7 GB | 126 | 0 |
...llama PY CODER 4bit Lora 4k V5 | 4K / 0.7 GB | 142 | 0 |
Tinyllama Coder Py V23 | 4K / 2.2 GB | 200 | 0 |
Tinyllama Coder Py V19 | 4K / 0.7 GB | 220 | 0 |
Tinyllama Coder Py V18 | 4K / 0.7 GB | 229 | 0 |
Tinyllama Coder Py V22 | 4K / 2.2 GB | 157 | 0 |
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