Arxiv:1910.09700 4-bit 4bit Autotrain compatible Bitsandbytes Dataset:open-orca/openorca Endpoints compatible Finetuned Llama Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sreevadan/BNB-4Bit-Llama3-Finetune
BNB 4Bit Llama3 Finetune 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)
BNB 4Bit Llama3 Finetune Parameters and Internals
| LLM Name | BNB 4Bit Llama3 Finetune |
| Repository 🤗 | https://huggingface.co/Sreevadan/BNB-4Bit-Llama3-Finetune |
| Model Size | 4.6b |
| Required VRAM | 6.1 GB |
| Updated | 2024-12-21 |
| Maintainer | Sreevadan |
| Model Type | llama |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|reserved_special_token_250|> |
| Vocabulary Size | 128256 |
| Torch Data Type | float16 |
Best Alternatives to BNB 4Bit Llama3 Finetune
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Q4 Llama 3 | 8K / 6.1 GB | 12 | 0 |
| Llama3 Finetune 4bit | 8K / 6.1 GB | 0 | 0 |
| TinyLLama V0 | 2K / 0 GB | 312089 | 27 |
| SimpleLlamaSentences | 2K / 0 GB | 19 | 0 |
| UniversalNER TinyLLama | 2K / 0 GB | 21 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Sreevadan/BNB-4Bit-Llama3-Finetune .
Rank the BNB 4Bit Llama3 Finetune Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217