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  <!-- ### quantize_version: 2 -->
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  <!-- ### output_tensor_quantised: 1 -->
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  <!-- ### convert_type: hf -->
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  <!-- ### quants_skip: -->
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  <!-- ### skip_mmproj: -->
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  weighted/imatrix quants of https://huggingface.co/Lamapi/next-12b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ base_model: Lamapi/next-12b
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+ datasets:
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+ - mlabonne/FineTome-100k
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+ - ITCL/FineTomeOs
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+ - Gryphe/ChatGPT-4o-Writing-Prompts
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+ - dongguanting/ARPO-SFT-54K
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+ - GreenerPastures/All-Your-Base-Full
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+ - Gryphe/Opus-WritingPrompts
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+ - HuggingFaceH4/MATH-500
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+ - mlabonne/smoltalk-flat
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+ - mlabonne/natural_reasoning-formatted
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+ - OpenSPG/KAG-Thinker-training-dataset
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+ - uclanlp/Brief-Pro
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+ - CognitiveKernel/CognitiveKernel-Pro-SFT
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+ - SuperbEmphasis/Claude-4.0-DeepSeek-R1-RP-SFWish
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+ - QuixiAI/dolphin-r1
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+ - mlabonne/lmsys-arena-human-sft-55k
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+ language:
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+ - tr
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+ - en
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+ - de
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+ - ka
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+ - el
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+ - ku
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+ - es
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+ - sl
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+ - sk
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+ - af
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+ - da
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+ - nl
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+ - fa
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+ - fi
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+ - fr
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+ - ga
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+ - hi
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+ - hu
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+ - hy
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+ - ja
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+ - kg
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+ - kk
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+ - ko
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+ - ky
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+ - la
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+ - lb
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+ - id
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+ - it
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+ - is
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+ - za
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+ - zh
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+ - zu
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+ - cs
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+ - vi
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+ - be
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+ - bg
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+ - bs
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+ - ne
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+ - mn
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+ - rm
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+ - ro
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+ - ru
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+ - te
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+ - th
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+ - tk
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+ - tt
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+ - uk
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+ - uz
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+ - ug
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+ - pl
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+ - pt
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+ - no
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+ 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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+ - english
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+ - ai
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+ - lamapi
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+ - gemma3
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+ - next
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+ - next-x1
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+ - efficient
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+ - text-generation
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+ - open-source
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+ - 12b
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+ - huggingface
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+ - large-language-model
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+ - llm
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+ - causal
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+ - transformer
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+ - artificial-intelligence
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+ - machine-learning
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+ - ai-research
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+ - natural-language-processing
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+ - language
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+ - multilingual
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+ - multimodal
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+ - nlp
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+ - finetuned
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+ - lightweight
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+ - creative
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+ - summarization
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+ - question-answering
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+ - chat
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+ - generative-ai
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+ - optimized
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+ - unsloth
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+ - trl
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+ - sft
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+ - chemistry
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+ - code
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+ - biology
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+ - finance
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+ - legal
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+ - music
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+ - art
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+ - state-of-the-art
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+ - climate
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+ - medical
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+ - agent
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+ - text-generation-inference
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+ - merge
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+ - dense
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+ ---
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+ ## About
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+
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  <!-- ### quantize_version: 2 -->
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  <!-- ### output_tensor_quantised: 1 -->
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  <!-- ### convert_type: hf -->
 
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  <!-- ### quants_skip: -->
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  <!-- ### skip_mmproj: -->
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  weighted/imatrix quants of https://huggingface.co/Lamapi/next-12b
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+
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+ <!-- provided-files -->
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+
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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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+
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+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
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+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
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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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+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
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+
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+ | Link | Type | Size/GB | Notes |
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+ |:-----|:-----|--------:|:------|
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+ | [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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+ | [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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+ | [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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+ | [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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+ | [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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+ | [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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+ | [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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+ | [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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+ | [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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+ | [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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+ | [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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+ | [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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+ | [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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+ | [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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+ | [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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+ | [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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+ | [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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+ | [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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+ | [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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+ | [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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+ | [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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+ | [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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+ | [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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+ | [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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+ | [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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+
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+ Here is a handy graph by ikawrakow comparing some lower-quality quant
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+ types (lower is better):
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+
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+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
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+
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+ And here are Artefact2's thoughts on the matter:
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+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
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+
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+ ## FAQ / Model Request
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+
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+ See https://huggingface.co/mradermacher/model_requests for some answers to
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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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+
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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 -->