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next-ocr-i1-GGUF/README.md
ModelHub XC 8a133f24a8 初始化项目，由ModelHub XC社区提供模型 
Model: mradermacher/next-ocr-i1-GGUF
Source: Original Platform
2026-08-15 03:47:16 +08:00

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---
base_model: thelamapi/next-ocr
language:
- en
- ab
- aa
- ae
- af
- ak
- am
- an
- ar
- as
- av
- ay
- az
- ba
- be
- bg
- bh
- bi
- bm
- bn
- bo
- br
- bs
- ca
- ce
- ch
- co
- cr
- cs
- cu
- cv
- cy
- da
- de
- dv
- dz
- ee
- el
- eo
- es
- et
- eu
- fa
- ff
- fi
- fj
- fo
- fr
- fy
- ga
- gd
- gl
- gn
- gv
- ha
- he
- hi
- ho
- gu
- hr
- ht
- hu
- hz
- hy
- id
- ia
- ig
- ie
- ik
- ii
- is
- io
- iu
- it
- jv
- ja
- kg
- ka
- kj
- ki
- kl
- kk
- kn
- km
- kr
- ko
- ku
- ks
- kw
- kv
- la
- ky
- lg
- lb
- ln
- li
- lt
- lo
- lv
- lu
- mg
- mi
- mh
- ml
- mk
- mr
- mn
- mt
- ms
- na
- my
- nd
- nb
- ng
- nl
- ne
- no
- nn
- nv
- nr
- oc
- oj
- om
- ny
- os
- or
- pa
- pi
- pl
- ps
- pt
- rm
- rn
- qu
- ro
- ru
- sn
- rw
- so
- sa
- sc
- sd
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- text-generation-inference
- transformers
- unsloth
- qwen3_vl
- trl
- sft
- chemistry
- code
- climate
- art
- biology
- finance
- legal
- music
- medical
- agent
---
## 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-ocr
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#next-ocr-i1-GGUF).***
static quants are available at https://huggingface.co/mradermacher/next-ocr-GGUF
**This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/next-ocr-GGUF).**
## 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](https://huggingface.co/mradermacher/next-ocr-i1-GGUF/resolve/main/next-ocr.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |
| [GGUF](https://huggingface.co/mradermacher/next-ocr-i1-GGUF/resolve/main/next-ocr.i1-IQ1_S.gguf) | i1-IQ1_S | 2.2 | for the desperate |
| [GGUF](https://huggingface.co/mradermacher/next-ocr-i1-GGUF/resolve/main/next-ocr.i1-IQ1_M.gguf) | i1-IQ1_M | 2.4 | mostly desperate |
| [GGUF](https://huggingface.co/mradermacher/next-ocr-i1-GGUF/resolve/main/next-ocr.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.6 | |
| [GGUF](https://huggingface.co/mradermacher/next-ocr-i1-GGUF/resolve/main/next-ocr.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.8 | |
| [GGUF](https://huggingface.co/mradermacher/next-ocr-i1-GGUF/resolve/main/next-ocr.i1-IQ2_S.gguf) | i1-IQ2_S | 3.0 | |
| [GGUF](https://huggingface.co/mradermacher/next-ocr-i1-GGUF/resolve/main/next-ocr.i1-IQ2_M.gguf) | i1-IQ2_M | 3.2 | |
| [GGUF](https://huggingface.co/mradermacher/next-ocr-i1-GGUF/resolve/main/next-ocr.i1-Q2_K_S.gguf) | i1-Q2_K_S | 3.2 | very low quality |
| [GGUF](https://huggingface.co/mradermacher/next-ocr-i1-GGUF/resolve/main/next-ocr.i1-Q2_K.gguf) | i1-Q2_K | 3.4 | IQ3_XXS probably better |
| [GGUF](https://huggingface.co/mradermacher/next-ocr-i1-GGUF/resolve/main/next-ocr.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 3.5 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/next-ocr-i1-GGUF/resolve/main/next-ocr.i1-IQ3_XS.gguf) | i1-IQ3_XS | 3.7 | |
| [GGUF](https://huggingface.co/mradermacher/next-ocr-i1-GGUF/resolve/main/next-ocr.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.9 | IQ3_XS probably better |
| [GGUF](https://huggingface.co/mradermacher/next-ocr-i1-GGUF/resolve/main/next-ocr.i1-IQ3_S.gguf) | i1-IQ3_S | 3.9 | beats Q3_K* |
| [GGUF](https://huggingface.co/mradermacher/next-ocr-i1-GGUF/resolve/main/next-ocr.i1-IQ3_M.gguf) | i1-IQ3_M | 4.0 | |
| [GGUF](https://huggingface.co/mradermacher/next-ocr-i1-GGUF/resolve/main/next-ocr.i1-Q3_K_M.gguf) | i1-Q3_K_M | 4.2 | IQ3_S probably better |
| [GGUF](https://huggingface.co/mradermacher/next-ocr-i1-GGUF/resolve/main/next-ocr.i1-Q3_K_L.gguf) | i1-Q3_K_L | 4.5 | IQ3_M probably better |
| [GGUF](https://huggingface.co/mradermacher/next-ocr-i1-GGUF/resolve/main/next-ocr.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.7 | |
| [GGUF](https://huggingface.co/mradermacher/next-ocr-i1-GGUF/resolve/main/next-ocr.i1-Q4_0.gguf) | i1-Q4_0 | 4.9 | fast, low quality |
| [GGUF](https://huggingface.co/mradermacher/next-ocr-i1-GGUF/resolve/main/next-ocr.i1-IQ4_NL.gguf) | i1-IQ4_NL | 4.9 | prefer IQ4_XS |
| [GGUF](https://huggingface.co/mradermacher/next-ocr-i1-GGUF/resolve/main/next-ocr.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.9 | optimal size/speed/quality |
| [GGUF](https://huggingface.co/mradermacher/next-ocr-i1-GGUF/resolve/main/next-ocr.i1-Q4_K_M.gguf) | i1-Q4_K_M | 5.1 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/next-ocr-i1-GGUF/resolve/main/next-ocr.i1-Q4_1.gguf) | i1-Q4_1 | 5.3 | |
| [GGUF](https://huggingface.co/mradermacher/next-ocr-i1-GGUF/resolve/main/next-ocr.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.8 | |
| [GGUF](https://huggingface.co/mradermacher/next-ocr-i1-GGUF/resolve/main/next-ocr.i1-Q5_K_M.gguf) | i1-Q5_K_M | 6.0 | |
| [GGUF](https://huggingface.co/mradermacher/next-ocr-i1-GGUF/resolve/main/next-ocr.i1-Q6_K.gguf) | i1-Q6_K | 6.8 | practically like static Q6_K |
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.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](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/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.
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