BNB 4Bit Llama3 Finetune is an open-source language model by Sreevadan. Features: 8.1b LLM, VRAM: 6.1GB, Context: 8K, License: apache-2.0, Quantized, Fine-Tuned, LLM Explorer Score: 0.14.
Arxiv:1910.09700 4-bit 4bit 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 | 8.1b |
| Required VRAM | 6.1 GB |
| Updated | 2026-04-03 |
| 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 |
|---|---|---|---|
| Phi 4 Bnb 4bit | 16K / 9.1 GB | 13720 | 16 |
| 0 Roleplay | 4K / 9.6 GB | 4 | 4 |
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.
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Release v20260328a