---
base_model: thelamapi/next-270m
datasets:
- mlabonne/FineTome-100k
- ITCL/FineTomeOs
- Gryphe/ChatGPT-4o-Writing-Prompts
- dongguanting/ARPO-SFT-54K
- GreenerPastures/All-Your-Base-Full
- Gryphe/Opus-WritingPrompts
- HuggingFaceH4/MATH-500
- mlabonne/smoltalk-flat
- mlabonne/natural_reasoning-formatted
- OpenSPG/KAG-Thinker-training-dataset
- uclanlp/Brief-Pro
- CognitiveKernel/CognitiveKernel-Pro-SFT
- SuperbEmphasis/Claude-4.0-DeepSeek-R1-RP-SFWish
- QuixiAI/dolphin-r1
- mlabonne/lmsys-arena-human-sft-55k
language: tr
library_name: transformers
license: mit
mradermacher:
  readme_rev: 1
quantized_by: mradermacher
tags:
- turkish
- türkiye
- english
- ai
- lamapi
- gemma3
- next
- next-x1
- efficient
- text-generation
- open-source
- 1b
- 270m
- finetune
- gguf
- huggingface
- large-language-model
- llm
- causal
- transformer
- artificial-intelligence
- machine-learning
- ai-research
- natural-language-processing
- nlp
- finetuned
- lightweight
- creative
- summarization
- question-answering
- chat-model
- generative-ai
- optimized-model
- unsloth
- trl
- sft
- chemistry
- biology
- finance
- legal
- music
- art
- code
- climate
- medical
- agent
- text-generation-inference
---
## About

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static quants of https://huggingface.co/thelamapi/next-270m

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***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#next-270m-GGUF).***

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
## 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-270m-GGUF/resolve/main/next-270m.Q3_K_S.gguf) | Q3_K_S | 0.3 |  |
| [GGUF](https://huggingface.co/mradermacher/next-270m-GGUF/resolve/main/next-270m.Q2_K.gguf) | Q2_K | 0.3 |  |
| [GGUF](https://huggingface.co/mradermacher/next-270m-GGUF/resolve/main/next-270m.IQ4_XS.gguf) | IQ4_XS | 0.3 |  |
| [GGUF](https://huggingface.co/mradermacher/next-270m-GGUF/resolve/main/next-270m.Q3_K_M.gguf) | Q3_K_M | 0.3 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/next-270m-GGUF/resolve/main/next-270m.Q3_K_L.gguf) | Q3_K_L | 0.3 |  |
| [GGUF](https://huggingface.co/mradermacher/next-270m-GGUF/resolve/main/next-270m.Q4_K_S.gguf) | Q4_K_S | 0.3 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/next-270m-GGUF/resolve/main/next-270m.Q4_K_M.gguf) | Q4_K_M | 0.4 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/next-270m-GGUF/resolve/main/next-270m.Q5_K_S.gguf) | Q5_K_S | 0.4 |  |
| [GGUF](https://huggingface.co/mradermacher/next-270m-GGUF/resolve/main/next-270m.Q5_K_M.gguf) | Q5_K_M | 0.4 |  |
| [GGUF](https://huggingface.co/mradermacher/next-270m-GGUF/resolve/main/next-270m.Q6_K.gguf) | Q6_K | 0.4 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/next-270m-GGUF/resolve/main/next-270m.Q8_0.gguf) | Q8_0 | 0.4 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/next-270m-GGUF/resolve/main/next-270m.f16.gguf) | f16 | 0.6 | 16 bpw, overkill |

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.

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