136 lines
4.4 KiB
Markdown
136 lines
4.4 KiB
Markdown
---
|
|
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
|
|
|
|
<!-- ### quantize_version: 2 -->
|
|
<!-- ### output_tensor_quantised: 1 -->
|
|
<!-- ### convert_type: hf -->
|
|
<!-- ### vocab_type: -->
|
|
<!-- ### tags: -->
|
|
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
|
|
<!-- ### quants_skip: -->
|
|
<!-- ### skip_mmproj: -->
|
|
static quants of https://huggingface.co/thelamapi/next-270m
|
|
|
|
<!-- provided-files -->
|
|
|
|
***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):
|
|
|
|
|
|
|
|
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.
|
|
|
|
<!-- end -->
|