4-bit Autotrain compatible Bitsandbytes Endpoints compatible Llama Lora Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/AlpacaAAR/llama-3-alpaca-tutor-quantized
Llama 3 Alpaca Tutor Quantized 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)
Llama 3 Alpaca Tutor Quantized Parameters and Internals
| LLM Name | Llama 3 Alpaca Tutor Quantized |
| Repository 🤗 | https://huggingface.co/AlpacaAAR/llama-3-alpaca-tutor-quantized |
| Model Size | 4.6b |
| Required VRAM | 6.1 GB |
| Updated | 2025-02-22 |
| Maintainer | AlpacaAAR |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| License | apache-2.0 |
| Model Max Length | 8192 |
| Is Biased | none |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|reserved_special_token_250|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | q_proj|up_proj|down_proj|gate_proj|k_proj|v_proj|o_proj |
| LoRA Alpha | 64 |
| LoRA Dropout | 0 |
| R Param | 64 |
Rank the Llama 3 Alpaca Tutor Quantized Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227