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Tinyllama PY CODER 4bit Lora 4K V12 by Ramikan-BR

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  4bit   Autotrain compatible Base model:finetune:ramikan-br... Base model:ramikan-br/tinyllam...   Codegen   En   Endpoints compatible   Llama   Lora   Pytorch   Quantized   Region:us   Safetensors   Sft   Trl   Unsloth

Tinyllama PY CODER 4bit Lora 4k V12 Benchmarks

ARC: 28.16 vs 96.7 (so35)-70.9%
HellaSwag: 41.44 vs 95.3 (gpt4)-56.5%
MMLU: 26.49 vs 88.3 (so35)-70%
TruthfulQA: 40.77 vs 59 (gpt4)-30.9%
WinoGrande: 51.93 vs 87.5 (gpt4)-40.7%
LLME Score: 0.25657
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Tinyllama PY CODER 4bit Lora 4K V12 Parameters and Internals

LLM NameTinyllama PY CODER 4bit Lora 4k V12
Repository 🤗https://huggingface.co/Ramikan-BR/tinyllama_PY-CODER-4bit-lora_4k-v12 
Base Model(s)  Ramikan-BR/tinyllama_PY-CODER-4bit-lora_4k-v11   Ramikan-BR/tinyllama_PY-CODER-4bit-lora_4k-v11
Model Size1.1b
Required VRAM2.2 GB
Updated2024-10-18
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 Version4.41.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
LoRA ModelYes
Torch Data Typefloat16
Tinyllama PY CODER 4bit Lora 4K V12 (Ramikan-BR/tinyllama_PY-CODER-4bit-lora_4k-v12)

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Note: green Score (e.g. "73.2") means that the model is better than Ramikan-BR/tinyllama_PY-CODER-4bit-lora_4k-v12.

Rank the Tinyllama PY CODER 4bit Lora 4K V12 Capabilities

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