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Tinyllama Coder Py V14 by Ramikan-BR

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  4bit   Autotrain compatible Base model:finetune:unsloth/ti... Base model:unsloth/tinyllama-c...   Codegen   Conversational   En   Endpoints compatible   Llama   Pytorch   Quantized   Region:us   Safetensors   Sft   Trl   Unsloth

Tinyllama Coder Py V14 Benchmarks

ARC: 30.72 vs 96.7 (so35)-68.2%
HellaSwag: 51.47 vs 95.3 (gpt4)-46%
MMLU: 25.11 vs 88.3 (so35)-71.6%
TruthfulQA: 40.36 vs 59 (gpt4)-31.6%
WinoGrande: 57.22 vs 87.5 (gpt4)-34.6%
GSM8K: 1.9 vs 96.4 (so35)-98%
LLME Score: 0.2574
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Tinyllama Coder Py V14 Parameters and Internals

LLM NameTinyllama Coder Py V14
Repository 🤗https://huggingface.co/Ramikan-BR/tinyllama-coder-py-v14 
Base Model(s)  Tinyllama Chat Bnb 4bit   unsloth/tinyllama-chat-bnb-4bit
Model Size1.1b
Required VRAM2.2 GB
Updated2024-10-15
MaintainerRamikan-BR
Model Typellama
Model Files  2.2 GB   2.2 GB
Supported Languagesen
Quantization Type4bit
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Tinyllama Coder Py V14 (Ramikan-BR/tinyllama-coder-py-v14)

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Note: green Score (e.g. "73.2") means that the model is better than Ramikan-BR/tinyllama-coder-py-v14.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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