Tinyllama Coder Py 4bit V10 by Ramikan-BR

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  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

Tinyllama Coder Py 4bit V10 (Ramikan-BR/tinyllama-coder-py-4bit-v10)

Tinyllama Coder Py 4bit V10 Parameters and Internals

Model Type 
text-generation, Python Coder
Additional Notes 
The model was refined using Unsloath. The dataset ise-uiuc/Magicoder-OSS-Instruct-75K was adjusted, leaving only data on Python and divided into 10 parts, each refinement occurred for 2 epochs, using Adafactor optimizer or AdamW_8bit (Adafactor seems to deliver less loss).
Supported Languages 
en (NLP)
Training Details 
Data Sources:
Ramikan-BR/data-oss_instruct-decontaminated_python.jsonl
Methodology:
The model was refined using Unsloath.
LLM NameTinyllama Coder Py 4bit V10
Repository ๐Ÿค—https://huggingface.co/Ramikan-BR/tinyllama-coder-py-4bit-v10 
Base Model(s)  Tinyllama Chat Bnb 4bit   unsloth/tinyllama-chat-bnb-4bit
Model Size1.1b
Required VRAM0.7 GB
Updated2024-12-14
MaintainerRamikan-BR
Model Typellama
Instruction-BasedYes
Model Files  2.2 GB   2.2 GB   0.7 GB   1.2 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124