mradermacher/SwarmMed-14B-v1.2-merged-i1-GGUF

---

base_model: SwarmOS/SwarmMed-14B-v1.2-merged datasets:

• SwarmOS/SwarmMed-Platinum-500
• SwarmOS/SwarmMed-Platinum-1K

language:

• en

library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags:

• medical
• healthcare
• clinical-reasoning
• platinum-pairs
• cove-verified
• chain-of-thought
• cardiology
• oncology
• neurology
• emergency-medicine
• psychiatry
• pediatrics
• pharmacology
• endocrinology
• radiology
• internal-medicine
• sft
• lora
• fine-tuned
• qwen2
• conversational
• swarm-and-bee

---

About

weighted/imatrix quants of https://huggingface.co/SwarmOS/SwarmMed-14B-v1.2-merged

For a convenient overview and download list, visit our model page for this model.

static quants are available at https://huggingface.co/mradermacher/SwarmMed-14B-v1.2-merged-GGUF

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Link	Type	Size/GB	Notes
GGUF	imatrix	0.1	imatrix file (for creating your own quants)
GGUF	i1-IQ1_M	4.0	mostly desperate
GGUF	i1-IQ2_XXS	4.4
GGUF	i1-IQ2_M	5.5
GGUF	i1-Q2K_S	5.5	very low quality
GGUF	i1-Q2K	5.9	IQ3XXS probably better
GGUF	i1-IQ3_XXS	6.0	lower quality
GGUF	i1-Q3KS	6.8	IQ3XS probably better
GGUF	i1-IQ3_M	7.0
GGUF	i1-Q3KM	7.4	IQ3S probably better
GGUF	i1-Q3KL	8.0	IQ3M probably better
GGUF	i1-IQ4_XS	8.2
GGUF	i1-IQ4NL	8.6	prefer IQ4XS
GGUF	i1-Q4K_S	8.7	optimal size/speed/quality
GGUF	i1-Q4K_M	9.1	fast, recommended
GGUF	i1-Q6K	12.2	practically like static Q6K

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

!image.png

And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.