GOAT Coder Llama3.1 8B by kshabana

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  4bit Base model:quantized:unsloth/m... Base model:unsloth/meta-llama-...   Codegen   Coding   Conversational   Dataset:replete-ai/code bagel   En   Endpoints compatible   Finetuned   Gguf   Instruct   Llama   Lora   Pytorch   Q8   Quantized   Region:us   Safetensors   Safetersors   Sft   Sharded   Tensorflow   Trl   Unsloth

GOAT Coder Llama3.1 8B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

GOAT Coder Llama3.1 8B Parameters and Internals

LLM NameGOAT Coder Llama3.1 8B
Repository ๐Ÿค—https://huggingface.co/kshabana/GOAT-coder-llama3.1-8b 
Base Model(s)  unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit   unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit
Model Size8b
Required VRAM16.1 GB
Updated2024-10-11
Maintainerkshabana
Instruction-BasedYes
Model Files  8.5 GB   16.1 GB   4.9 GB   5.7 GB   0.2 GB   5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
GGUF QuantizationYes
Quantization Typeq8|4bit|gguf
Generates CodeYes
Model ArchitectureAutoModel
Licenseapache-2.0
Model Max Length131072
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleso_proj|k_proj|q_proj|down_proj|gate_proj|up_proj|v_proj
LoRA Alpha16
LoRA Dropout0
R Param16
GOAT Coder Llama3.1 8B (kshabana/GOAT-coder-llama3.1-8b)

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803