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").
What is the LLM Explorer Rank (Score)
GOAT Coder Llama3.1 8B Parameters and Internals
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| LLM Name | GOAT Coder Llama3.1 8B |
| Repository 🤗 | https://huggingface.co/kshabana/GOAT-coder-llama3.1-8b |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 16.1 GB |
| Updated | 2024-11-21 |
| Maintainer | kshabana |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | q8|4bit|gguf |
| Generates Code | Yes |
| Model Architecture | AutoModel |
| License | apache-2.0 |
| Model Max Length | 131072 |
| Is Biased | none |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|finetune_right_pad_id|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | o_proj|k_proj|q_proj|down_proj|gate_proj|up_proj|v_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
Rank the GOAT Coder Llama3.1 8B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110