Arxiv:1910.09700 8-bit Autotrain compatible Endpoints compatible Gptq Llama Pytorch Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/hyunnnnnnnn/42dot_quantized
42dot 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)
42dot Quantized Parameters and Internals
| LLM Name | 42dot Quantized |
| Repository 🤗 | https://huggingface.co/hyunnnnnnnn/42dot_quantized |
| Model Size | 527.4m |
| Required VRAM | 1.7 GB |
| Updated | 2025-02-22 |
| Maintainer | hyunnnnnnnn |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.41.1 |
| Tokenizer Class | GPT2TokenizerFast |
| Padding Token | <||pad||> |
| Vocabulary Size | 50304 |
| Torch Data Type | float16 |
| Errors | replace |
Rank the 42dot Quantized Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227