Meta Llama3 8B Instruct 4bit Quantized is an open-source language model by saadrasheeddev. Features: 8b LLM, VRAM: 5.8GB, Context: 8K, Quantized, Instruction-Based, LLM Explorer Score: 0.14.
Arxiv:1910.09700 4-bit 4bit Autotrain compatible Bitsandbytes Conversational Endpoints compatible Instruct Llama Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/saadrasheeddev/meta-llama3-8B-instruct-4bit-quantized
Meta Llama3 8B Instruct 4bit 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)
Meta Llama3 8B Instruct 4bit Quantized Parameters and Internals
| LLM Name | Meta Llama3 8B Instruct 4bit Quantized |
| Repository 🤗 | https://huggingface.co/saadrasheeddev/meta-llama3-8B-instruct-4bit-quantized |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 5.8 GB |
| Updated | 2025-09-23 |
| Maintainer | saadrasheeddev |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | LlamaForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|im_end|> |
| Vocabulary Size | 128258 |
| Torch Data Type | float16 |
Best Alternatives to Meta Llama3 8B Instruct 4bit Quantized
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...B Instruct Gradient 1048K 4bit | 1024K / 4.5 GB | 16 | 2 |
| ...B Instruct Gradient 1048K 8bit | 1024K / 8.6 GB | 9 | 1 |
| ...truct Gradient 1048K Bpw6 EXL2 | 1024K / 6.7 GB | 3 | 2 |
| ...truct Gradient 1048K Bpw5 EXL2 | 1024K / 5.8 GB | 6 | 0 |
| Llama 3 8B Instruct 1048K 4bit | 1024K / 4.5 GB | 529 | 25 |
| Llama 3 8B Instruct 1048K 8bit | 1024K / 8.6 GB | 307 | 17 |
| ... Gradient 1048K 8.0bpw H8 EXL2 | 1024K / 8.6 GB | 6 | 3 |
| ...ct Gradient 1048K Bpw2.25 EXL2 | 1024K / 3.4 GB | 0 | 1 |
| Llama 3 8B Instruct 262K 2bit | 256K / 2.5 GB | 16 | 1 |
| ...B Instruct 262k V2 EXL2 6.0bpw | 256K / 6.7 GB | 4 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than saadrasheeddev/meta-llama3-8B-instruct-4bit-quantized .
Rank the Meta Llama3 8B Instruct 4bit Quantized Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a