Laserxtral GGUF is an open-source language model by QuixiAI. Features: 7b LLM, VRAM: 8.8GB, Context: 32K, License: cc-by-nc-2.0, Quantized, LLM Explorer Score: 0.11.
| LLM Name | Laserxtral GGUF |
| Repository 🤗 | https://huggingface.co/QuixiAI/laserxtral-GGUF |
| Model Size | 7b |
| Required VRAM | 8.8 GB |
| Updated | 2026-06-07 |
| Maintainer | QuixiAI |
| Model Type | mixtral |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf|q2|q4_k|q5_k |
| Model Architecture | MixtralForCausalLM |
| License | cc-by-nc-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.2 |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mixtral 7Bx2 MoE GGUF | 32K / 4.8 GB | 273 | 3 |
| Laserxtral GGUF | 32K / 8.8 GB | 223 | 20 |
| Mistral 7B MoEified 8x | 32K / 14.6 GB | 411 | 6 |
| ...izardLM 2 4x7B MoE EXL2 3 0bpw | 32K / 9.4 GB | 2 | 1 |
| Buttercup 4x7B 6bpw EXL2 | 32K / 18.4 GB | 6 | 2 |
| BurningBruce 003 EXL2 B8.0 | 32K / 24.3 GB | 7 | 1 |
| ...ixtral 2x7b DPO 8.0bpw H8 EXL2 | 32K / 13 GB | 4 | 4 |
| ...ixtral 2x7b DPO 6.0bpw H6 EXL2 | 32K / 9.8 GB | 6 | 1 |
| ...ixtral 2x7b DPO 4.0bpw H6 EXL2 | 32K / 6.7 GB | 2 | 1 |
| ...ixtral 2x7b DPO 5.0bpw H6 EXL2 | 32K / 8.3 GB | 1 | 1 |