Question Answering
Transformers
GGUF
turkish
türkiye
english
ai
lamapi
gemma3
next
next-x1
efficient
text-generation
open-source
12b
huggingface
large-language-model
llm
causal
transformer
artificial-intelligence
machine-learning
ai-research
natural-language-processing
language
multilingual
multimodal
nlp
finetuned
lightweight
creative
summarization
chat
generative-ai
optimized
unsloth
trl
sft
chemistry
code
biology
finance
legal
music
art
state-of-the-art
climate
medical
agent
text-generation-inference
Merge
dense
imatrix
conversational
auto-patch README.md
Browse files
README.md
CHANGED
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| 1 |
<!-- ### quantize_version: 2 -->
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| 2 |
<!-- ### output_tensor_quantised: 1 -->
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| 3 |
<!-- ### convert_type: hf -->
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@@ -7,3 +137,69 @@
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<!-- ### quants_skip: -->
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<!-- ### skip_mmproj: -->
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| 9 |
weighted/imatrix quants of https://huggingface.co/Lamapi/next-12b
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| 1 |
+
---
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| 2 |
+
base_model: Lamapi/next-12b
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| 3 |
+
datasets:
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| 4 |
+
- mlabonne/FineTome-100k
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| 5 |
+
- ITCL/FineTomeOs
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| 6 |
+
- Gryphe/ChatGPT-4o-Writing-Prompts
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| 7 |
+
- dongguanting/ARPO-SFT-54K
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| 8 |
+
- GreenerPastures/All-Your-Base-Full
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| 9 |
+
- Gryphe/Opus-WritingPrompts
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| 10 |
+
- HuggingFaceH4/MATH-500
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| 11 |
+
- mlabonne/smoltalk-flat
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| 12 |
+
- mlabonne/natural_reasoning-formatted
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| 13 |
+
- OpenSPG/KAG-Thinker-training-dataset
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| 14 |
+
- uclanlp/Brief-Pro
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| 15 |
+
- CognitiveKernel/CognitiveKernel-Pro-SFT
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| 16 |
+
- SuperbEmphasis/Claude-4.0-DeepSeek-R1-RP-SFWish
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| 17 |
+
- QuixiAI/dolphin-r1
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| 18 |
+
- mlabonne/lmsys-arena-human-sft-55k
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| 19 |
+
language:
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| 20 |
+
- tr
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| 21 |
+
- en
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| 22 |
+
- de
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| 23 |
+
- ka
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| 24 |
+
- el
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| 25 |
+
- ku
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| 26 |
+
- es
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| 27 |
+
- sl
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| 28 |
+
- sk
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| 29 |
+
- af
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| 30 |
+
- da
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| 31 |
+
- nl
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| 32 |
+
- fa
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| 33 |
+
- fi
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| 34 |
+
- fr
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| 35 |
+
- ga
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| 36 |
+
- hi
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| 37 |
+
- hu
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| 38 |
+
- hy
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| 39 |
+
- ja
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| 40 |
+
- kg
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| 41 |
+
- kk
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| 42 |
+
- ko
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| 43 |
+
- ky
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| 44 |
+
- la
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| 45 |
+
- lb
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| 46 |
+
- id
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| 47 |
+
- it
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| 48 |
+
- is
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| 49 |
+
- za
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| 50 |
+
- zh
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| 51 |
+
- zu
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| 52 |
+
- cs
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| 53 |
+
- vi
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| 54 |
+
- be
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| 55 |
+
- bg
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| 56 |
+
- bs
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| 57 |
+
- ne
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| 58 |
+
- mn
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| 59 |
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- rm
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- ro
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| 61 |
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- ru
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| 62 |
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- te
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| 63 |
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- th
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| 64 |
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- tk
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| 65 |
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- tt
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| 66 |
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- uk
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| 67 |
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- uz
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| 68 |
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- ug
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| 69 |
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- pl
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| 70 |
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- pt
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- no
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| 72 |
+
library_name: transformers
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+
license: mit
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+
mradermacher:
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+
readme_rev: 1
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+
quantized_by: mradermacher
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+
tags:
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+
- turkish
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- türkiye
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| 80 |
+
- english
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+
- ai
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| 82 |
+
- lamapi
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| 83 |
+
- gemma3
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| 84 |
+
- next
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| 85 |
+
- next-x1
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| 86 |
+
- efficient
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| 87 |
+
- text-generation
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| 88 |
+
- open-source
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| 89 |
+
- 12b
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| 90 |
+
- huggingface
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| 91 |
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- large-language-model
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| 92 |
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- llm
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| 93 |
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- causal
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| 94 |
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- transformer
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| 95 |
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- artificial-intelligence
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| 96 |
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- machine-learning
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| 97 |
+
- ai-research
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| 98 |
+
- natural-language-processing
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| 99 |
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- language
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| 100 |
+
- multilingual
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| 101 |
+
- multimodal
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| 102 |
+
- nlp
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| 103 |
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- finetuned
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| 104 |
+
- lightweight
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| 105 |
+
- creative
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| 106 |
+
- summarization
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| 107 |
+
- question-answering
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| 108 |
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- chat
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| 109 |
+
- generative-ai
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| 110 |
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- optimized
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| 111 |
+
- unsloth
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| 112 |
+
- trl
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| 113 |
+
- sft
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| 114 |
+
- chemistry
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| 115 |
+
- code
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| 116 |
+
- biology
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| 117 |
+
- finance
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| 118 |
+
- legal
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| 119 |
+
- music
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| 120 |
+
- art
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| 121 |
+
- state-of-the-art
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| 122 |
+
- climate
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| 123 |
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- medical
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| 124 |
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- agent
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| 125 |
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- text-generation-inference
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- merge
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| 127 |
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- dense
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---
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+
## About
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| 130 |
+
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| 131 |
<!-- ### quantize_version: 2 -->
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| 132 |
<!-- ### output_tensor_quantised: 1 -->
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| 133 |
<!-- ### convert_type: hf -->
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| 137 |
<!-- ### quants_skip: -->
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| 138 |
<!-- ### skip_mmproj: -->
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| 139 |
weighted/imatrix quants of https://huggingface.co/Lamapi/next-12b
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+
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+
<!-- provided-files -->
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+
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#next-12b-i1-GGUF).***
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+
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+
static quants are available at https://huggingface.co/mradermacher/next-12b-GGUF
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+
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+
**This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/next-12b-GGUF).**
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+
## Usage
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| 149 |
+
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| 150 |
+
If you are unsure how to use GGUF files, refer to one of [TheBloke's
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| 151 |
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READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
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| 152 |
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more details, including on how to concatenate multi-part files.
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+
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## Provided Quants
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+
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| 156 |
+
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
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| 157 |
+
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+
| Link | Type | Size/GB | Notes |
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| 159 |
+
|:-----|:-----|--------:|:------|
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| 160 |
+
| [GGUF](https://huggingface.co/mradermacher/next-12b-i1-GGUF/resolve/main/next-12b.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own qwuants) |
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| 161 |
+
| [GGUF](https://huggingface.co/mradermacher/next-12b-i1-GGUF/resolve/main/next-12b.i1-IQ1_S.gguf) | i1-IQ1_S | 3.0 | for the desperate |
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| 162 |
+
| [GGUF](https://huggingface.co/mradermacher/next-12b-i1-GGUF/resolve/main/next-12b.i1-IQ1_M.gguf) | i1-IQ1_M | 3.3 | mostly desperate |
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| 163 |
+
| [GGUF](https://huggingface.co/mradermacher/next-12b-i1-GGUF/resolve/main/next-12b.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 3.6 | |
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| 164 |
+
| [GGUF](https://huggingface.co/mradermacher/next-12b-i1-GGUF/resolve/main/next-12b.i1-IQ2_XS.gguf) | i1-IQ2_XS | 3.9 | |
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| 165 |
+
| [GGUF](https://huggingface.co/mradermacher/next-12b-i1-GGUF/resolve/main/next-12b.i1-IQ2_S.gguf) | i1-IQ2_S | 4.1 | |
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| 166 |
+
| [GGUF](https://huggingface.co/mradermacher/next-12b-i1-GGUF/resolve/main/next-12b.i1-IQ2_M.gguf) | i1-IQ2_M | 4.4 | |
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| 167 |
+
| [GGUF](https://huggingface.co/mradermacher/next-12b-i1-GGUF/resolve/main/next-12b.i1-Q2_K_S.gguf) | i1-Q2_K_S | 4.5 | very low quality |
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| 168 |
+
| [GGUF](https://huggingface.co/mradermacher/next-12b-i1-GGUF/resolve/main/next-12b.i1-Q2_K.gguf) | i1-Q2_K | 4.9 | IQ3_XXS probably better |
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| 169 |
+
| [GGUF](https://huggingface.co/mradermacher/next-12b-i1-GGUF/resolve/main/next-12b.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 4.9 | lower quality |
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| 170 |
+
| [GGUF](https://huggingface.co/mradermacher/next-12b-i1-GGUF/resolve/main/next-12b.i1-IQ3_XS.gguf) | i1-IQ3_XS | 5.3 | |
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| 171 |
+
| [GGUF](https://huggingface.co/mradermacher/next-12b-i1-GGUF/resolve/main/next-12b.i1-IQ3_S.gguf) | i1-IQ3_S | 5.6 | beats Q3_K* |
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| 172 |
+
| [GGUF](https://huggingface.co/mradermacher/next-12b-i1-GGUF/resolve/main/next-12b.i1-Q3_K_S.gguf) | i1-Q3_K_S | 5.6 | IQ3_XS probably better |
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| 173 |
+
| [GGUF](https://huggingface.co/mradermacher/next-12b-i1-GGUF/resolve/main/next-12b.i1-IQ3_M.gguf) | i1-IQ3_M | 5.8 | |
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| 174 |
+
| [GGUF](https://huggingface.co/mradermacher/next-12b-i1-GGUF/resolve/main/next-12b.i1-Q3_K_M.gguf) | i1-Q3_K_M | 6.1 | IQ3_S probably better |
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| 175 |
+
| [GGUF](https://huggingface.co/mradermacher/next-12b-i1-GGUF/resolve/main/next-12b.i1-Q3_K_L.gguf) | i1-Q3_K_L | 6.6 | IQ3_M probably better |
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| 176 |
+
| [GGUF](https://huggingface.co/mradermacher/next-12b-i1-GGUF/resolve/main/next-12b.i1-IQ4_XS.gguf) | i1-IQ4_XS | 6.7 | |
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| 177 |
+
| [GGUF](https://huggingface.co/mradermacher/next-12b-i1-GGUF/resolve/main/next-12b.i1-IQ4_NL.gguf) | i1-IQ4_NL | 7.0 | prefer IQ4_XS |
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| 178 |
+
| [GGUF](https://huggingface.co/mradermacher/next-12b-i1-GGUF/resolve/main/next-12b.i1-Q4_0.gguf) | i1-Q4_0 | 7.0 | fast, low quality |
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| 179 |
+
| [GGUF](https://huggingface.co/mradermacher/next-12b-i1-GGUF/resolve/main/next-12b.i1-Q4_K_S.gguf) | i1-Q4_K_S | 7.0 | optimal size/speed/quality |
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| 180 |
+
| [GGUF](https://huggingface.co/mradermacher/next-12b-i1-GGUF/resolve/main/next-12b.i1-Q4_K_M.gguf) | i1-Q4_K_M | 7.4 | fast, recommended |
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| 181 |
+
| [GGUF](https://huggingface.co/mradermacher/next-12b-i1-GGUF/resolve/main/next-12b.i1-Q4_1.gguf) | i1-Q4_1 | 7.7 | |
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| 182 |
+
| [GGUF](https://huggingface.co/mradermacher/next-12b-i1-GGUF/resolve/main/next-12b.i1-Q5_K_S.gguf) | i1-Q5_K_S | 8.3 | |
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| 183 |
+
| [GGUF](https://huggingface.co/mradermacher/next-12b-i1-GGUF/resolve/main/next-12b.i1-Q5_K_M.gguf) | i1-Q5_K_M | 8.5 | |
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| 184 |
+
| [GGUF](https://huggingface.co/mradermacher/next-12b-i1-GGUF/resolve/main/next-12b.i1-Q6_K.gguf) | i1-Q6_K | 9.8 | practically like static Q6_K |
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| 185 |
+
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| 186 |
+
Here is a handy graph by ikawrakow comparing some lower-quality quant
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| 187 |
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types (lower is better):
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+
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| 189 |
+

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| 190 |
+
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And here are Artefact2's thoughts on the matter:
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| 192 |
+
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
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## FAQ / Model Request
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| 195 |
+
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See https://huggingface.co/mradermacher/model_requests for some answers to
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| 197 |
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questions you might have and/or if you want some other model quantized.
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+
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## Thanks
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| 200 |
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I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
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me use its servers and providing upgrades to my workstation to enable
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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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+
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<!-- end -->
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