mradermacher
mradermacher/next-12b-i1-GGUF
basemodel: thelamapi/next-12b - mlabonne/FineTome-100k - ITCL/FineTomeOs - Gryphe/ChatGPT-4o-Writing-Prompts - dongguanting/ARPO-SFT-54K - G...
Model Documentation
About
quantize_version: 2 -->
output_tensor_quantised: 1 -->
convert_type: hf -->
vocab_type: -->
tags: nicoboss -->
quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S -->
quants_skip: -->
skip_mmproj: -->
weighted/imatrix quants of https://huggingface.co/thelamapi/next-12bprovided-files -->
*For a convenient overview and download list, visit our model page for this model.*
static quants are available at https://huggingface.co/mradermacher/next-12b-GGUF
This is a vision model
Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) 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_S | 3.0 | for the desperate | | GGUF | i1-IQ1_M | 3.3 | mostly desperate | | GGUF | i1-IQ2_XXS | 3.6 | | | GGUF | i1-IQ2_XS | 3.9 | | | GGUF | i1-IQ2_S | 4.1 | | | GGUF | i1-IQ2_M | 4.4 | | | GGUF | i1-Q2_K_S | 4.5 | very low quality | | GGUF | i1-Q2_K | 4.9 | IQ3_XXS probably better | | GGUF | i1-IQ3_XXS | 4.9 | lower quality | | GGUF | i1-IQ3_XS | 5.3 | | | GGUF | i1-IQ3_S | 5.6 | beats Q3_K* | | GGUF | i1-Q3_K_S | 5.6 | IQ3_XS probably better | | GGUF | i1-IQ3_M | 5.8 | | | GGUF | i1-Q3_K_M | 6.1 | IQ3_S probably better | | GGUF | i1-Q3_K_L | 6.6 | IQ3_M probably better | | GGUF | i1-IQ4_XS | 6.7 | | | GGUF | i1-IQ4_NL | 7.0 | prefer IQ4_XS | | GGUF | i1-Q4_0 | 7.0 | fast, low quality | | GGUF | i1-Q4_K_S | 7.0 | optimal size/speed/quality | | GGUF | i1-Q4_K_M | 7.4 | fast, recommended | | GGUF | i1-Q4_1 | 7.7 | | | GGUF | i1-Q5_K_S | 8.3 | | | GGUF | i1-Q5_K_M | 8.5 | | | GGUF | i1-Q6_K | 9.8 | practically like static Q6_K |
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

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.
end -->
Files & Weights
| Filename | Size | Action |
|---|---|---|
| next-12b.i1-IQ1_M.gguf | 2.95 GB | |
| next-12b.i1-IQ1_S.gguf | 2.74 GB | |
| next-12b.i1-IQ2_M.gguf | 4.01 GB | |
| next-12b.i1-IQ2_S.gguf | 3.74 GB | |
| next-12b.i1-IQ2_XS.gguf | 3.58 GB | |
| next-12b.i1-IQ2_XXS.gguf | 3.28 GB | |
| next-12b.i1-IQ3_M.gguf | 5.27 GB | |
| next-12b.i1-IQ3_S.gguf | 5.08 GB | |
| next-12b.i1-IQ3_XS.gguf | 4.85 GB | |
| next-12b.i1-IQ3_XXS.gguf | 4.46 GB | |
| next-12b.i1-IQ4_NL.gguf | 6.41 GB | |
| next-12b.i1-IQ4_XS.gguf | 6.10 GB | |
| next-12b.i1-Q2_K.gguf | 4.44 GB | |
| next-12b.i1-Q2_K_S.gguf | 4.14 GB | |
| next-12b.i1-Q3_K_L.gguf | 6.04 GB | |
| next-12b.i1-Q3_K_M.gguf | 5.60 GB | |
| next-12b.i1-Q3_K_S.gguf | 5.08 GB | |
| next-12b.i1-Q4_0.gguf | 6.43 GB | |
| next-12b.i1-Q4_1.gguf | 7.04 GB | |
| next-12b.i1-Q4_K_M.gguf | 6.80 GB | |
| next-12b.i1-Q4_K_S.gguf | 6.46 GB | |
| next-12b.i1-Q5_K_M.gguf | 7.87 GB | |
| next-12b.i1-Q5_K_S.gguf | 7.67 GB | |
| next-12b.i1-Q6_K.gguf | 9.00 GB | |
| next-12b.imatrix.gguf | 0.01 GB |