Tinyllama PY CODER 4bit Lora 4K V9 by Ramikan-BR

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

Tinyllama PY CODER 4bit Lora 4k V9 Benchmarks

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 V9 (Ramikan-BR/tinyllama_PY-CODER-4bit-lora_4k-v9)
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Tinyllama PY CODER 4bit Lora 4K V9 Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, llama, trl, sft
Training Details 
Methodology:
Trained 2x faster with Unsloth and Huggingface's TRL library
LLM NameTinyllama PY CODER 4bit Lora 4k V9
Repository ๐Ÿค—https://huggingface.co/Ramikan-BR/tinyllama_PY-CODER-4bit-lora_4k-v9 
Base Model(s)  ...llama PY CODER 4bit Lora 4k V8   Ramikan-BR/tinyllama_PY-CODER-4bit-lora_4k-v8
Required VRAM0.4 GB
Updated2025-09-23
MaintainerRamikan-BR
Model Files  0.4 GB   0.4 GB   0.7 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Generates CodeYes
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length4096
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|k_proj|q_proj|down_proj|up_proj|gate_proj|o_proj
LoRA Alpha256
LoRA Dropout0
R Param128

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Rank the Tinyllama PY CODER 4bit Lora 4K V9 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124