4bit Autotrain compatible Base model:adapter:unsloth/tin... Base model:unsloth/tinyllama-c... Code Codegen Conversational Dataset:ramikan-br/data-oss in... En Endpoints compatible Gguf Instruct Llama Lora Peft Quantized Region:us Safetensors Sft Trl Unsloth
Tinyllama Coder Py 4bit V10 Benchmarks
ARC: 34.39 vs 96.7 (so35)-64.4%
HellaSwag: 56.34 vs 95.3 (gpt4)-40.9%
MMLU: 26.42 vs 88.3 (so35)-70.1%
TruthfulQA: 38.45 vs 59 (gpt4)-34.8%
WinoGrande: 58.09 vs 87.5 (gpt4)-33.6%
GSM8K: 0.53 vs 96.4 (so35)-99.5%
LLME Score: 0.26794
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 Py 4bit V10 Parameters and Internals
| LLM Name | Tinyllama Coder Py 4bit V10 |
| Repository 🤗 | https://huggingface.co/Ramikan-BR/tinyllama-coder-py-4bit-v10 |
| Base Model(s) | |
| Model Size | 1.1b |
| Required VRAM | 0.7 GB |
| Updated | 2024-10-18 |
| Maintainer | Ramikan-BR |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf|4bit |
| Generates Code | Yes |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.40.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803