Llama 3 8B Irene V0.2 6.5bpw H8 EXL2 is an open-source language model by Meggido. Features: 8b LLM, VRAM: 7.2GB, Context: 8K, License: other, Quantized, Merged, LLM Explorer Score: 0.13.
Merged Model Autotrain compatible Base model:finetune:grimjim/ll... Base model:grimjim/llama-3-mer... Conversational Endpoints compatible Exl2 Facebook Llama Llama-3 Meta Pytorch Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/Meggido/Llama-3-8B-Irene-v0.2-6.5bpw-h8-exl2
Llama 3 8B Irene V0.2 6.5bpw H8 EXL2 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 8B Irene V0.2 6.5bpw H8 EXL2 Parameters and Internals
| Model Type |
|
| LLM Name | Llama 3 8B Irene V0.2 6.5bpw H8 EXL2 |
| Repository 🤗 | https://huggingface.co/Meggido/Llama-3-8B-Irene-v0.2-6.5bpw-h8-exl2 |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 8b |
| Required VRAM | 7.2 GB |
| Updated | 2025-09-23 |
| Maintainer | Meggido |
| Model Type | llama |
| Model Files | |
| Quantization Type | exl2 |
| Model Architecture | LlamaForCausalLM |
| License | other |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.40.1 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to Llama 3 8B Irene V0.2 6.5bpw H8 EXL2
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 Meggido/Llama-3-8B-Irene-v0.2-6.5bpw-h8-exl2 .
Rank the Llama 3 8B Irene V0.2 6.5bpw H8 EXL2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a