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Tinyllama PY CODER 4bit Lora 4K V8 by Ramikan-BR

 »  All LLMs  »  Ramikan-BR  »  Tinyllama PY CODER 4bit Lora 4K V8   URL Share it on

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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   Unsloth
Model Card on HF 🤗: https://huggingface.co/Ramikan-BR/tinyllama_PY-CODER-4bit-lora_4k-v8 

Tinyllama PY CODER 4bit Lora 4k V8 Benchmarks

LLME Score: 0.18497
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 V8 (Ramikan-BR/tinyllama_PY-CODER-4bit-lora_4k-v8)

Tinyllama PY CODER 4bit Lora 4K V8 Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, llama, gguf
Additional Notes 
This model was finetuned from Ramikan-BR/tinyllama_PY-CODER-4bit-lora_4k-v7 and was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameTinyllama PY CODER 4bit Lora 4k V8
Repository 🤗https://huggingface.co/Ramikan-BR/tinyllama_PY-CODER-4bit-lora_4k-v8 
Base Model(s)  Ramikan-BR/tinyllama_PY-CODER-4bit-lora_4k-v7   Ramikan-BR/tinyllama_PY-CODER-4bit-lora_4k-v7
Required VRAM0.4 GB
Updated2025-02-22
MaintainerRamikan-BR
Model Files  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 Modulesgate_proj|down_proj|up_proj|k_proj|q_proj|o_proj|v_proj
LoRA Alpha256
LoRA Dropout0
R Param128

Quantized Models of the Tinyllama PY CODER 4bit Lora 4K V8

Model
Likes
Downloads
VRAM
...llama PY CODER 4bit Lora 4k V9050 GB

Best Alternatives to Tinyllama PY CODER 4bit Lora 4K V8

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Context / RAM
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...llama PY CODER 4bit Lora 4k V90K / 0.4 GB50
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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-v8.

Rank the Tinyllama PY CODER 4bit Lora 4K V8 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 v20241227
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