README.md

metadata

base_model: thelamapi/next-1b
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
  - ar
  - af
  - az
  - es
  - en
  - el
  - ro
  - ru
  - rm
  - th
  - uk
  - uz
  - pl
  - pt
  - fa
  - sk
  - sl
  - da
  - de
  - nl
  - fr
  - fi
  - ka
  - hi
  - hu
  - hy
  - ja
  - kk
  - kn
  - ko
  - ku
  - ky
  - la
  - lb
  - id
  - is
  - it
  - zh
  - cs
  - vi
  - be
  - bg
  - bs
  - ne
  - mn
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
  - 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

static quants of https://huggingface.co/thelamapi/next-1b

For a convenient overview and download list, visit our model page for this model.

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 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	Q3_K_S	0.8
GGUF	Q2_K	0.8
GGUF	IQ4_XS	0.8
GGUF	Q3_K_M	0.8	lower quality
GGUF	Q3_K_L	0.9
GGUF	Q4_K_S	0.9	fast, recommended
GGUF	Q4_K_M	0.9	fast, recommended
GGUF	Q5_K_S	0.9
GGUF	Q5_K_M	1.0
GGUF	Q6_K	1.1	very good quality
GGUF	Q8_0	1.2	fast, best quality
GGUF	f16	2.1	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, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.