---

base_model: intervitens/mini-magnum-12b-v1.1 library_name: transformers quantized_by: InferenceIllusionist tags:

• iMat
• gguf
• Mistral

license: apache-2.0

---

mini-magnum-12b-v1.1-iMat-GGUF

[!WARNING]

>Important Note: Inferencing in llama.cpp has now been merged in PR #8604. Please ensure you are on release b3438 or newer. Text-generation-web-ui (Ooba) is also working as of 7/23. Kobold.cpp working as of v1.71.

Quantized from mini-magnum-12b-v1.1 fp16

• Weighted quantizations were creating using fp16 GGUF and groupsmerged.txt in 92 chunks and nctx=512
• Static fp16 will also be included in repo
• For a brief rundown of iMatrix quant performance please see this PR
• All quants are verified working prior to uploading to repo for your safety and convenience

KL-Divergence Reference Chart
(Click on image to view in full size)

[!TIP]

>Quant-specific Tips: >* If you are getting a cudaMalloc failed: out of memory error, try passing an argument for lower context in llama.cpp, e.g. for 8k: -c 8192 >* If you have all ampere generation or newer cards, you can use flash attention like so: -fa >* Provided Flash Attention is enabled you can also use quantized cache to save on VRAM e.g. for 8-bit: -ctk q80 -ctv q80

Original model card can be found here