Bagel 8x7b V0.2 3.5bpw H6 EXL2 is an open-source language model by LoneStriker. Features: 1m LLM, VRAM: 20.7GB, Context: 32K, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.11.
| Additional Notes |
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| Training Details |
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| LLM Name | Bagel 8x7b V0.2 3.5bpw H6 EXL2 |
| Repository ๐ค | https://huggingface.co/LoneStriker/bagel-8x7b-v0.2-3.5bpw-h6-exl2 |
| Model Size | 1m |
| Required VRAM | 20.7 GB |
| Updated | 2026-03-29 |
| Maintainer | LoneStriker |
| Model Type | mixtral |
| Model Files | |
| Quantization Type | exl2 |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...l DPO 8x7b V0.2 3.5bpw H6 EXL2 | 32K / 20.7 GB | 4 | 2 |
| ...l DPO 8x7b V0.2 6.0bpw H6 EXL2 | 32K / 35.3 GB | 5 | 1 |
| TinyMistral 6x248M Instruct | 32K / 4 GB | 12 | 11 |
| TinyMistral 6x248M | 32K / 4 GB | 142 | 17 |
| ...ama Llama Dolphin Laser 1B MoE | 4K / 6.8 GB | 3 | 1 |
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