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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-8b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ base_model: Lamapi/next-8b
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+ datasets:
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+ - CognitiveKernel/CognitiveKernel-Pro-SFT
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+ - OpenSPG/KAG-Thinker-training-dataset
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+ - QuixiAI/dolphin-r1
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+ - uclanlp/Brief-Pro
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+ - Gryphe/Opus-WritingPrompts
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+ - GreenerPastures/All-Your-Base-Full
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+ - dongguanting/ARPO-SFT-54K
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+ - Medint/Multi-Med-conversational
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+ - mlabonne/smoltalk-flat
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+ - mlabonne/natural_reasoning-formatted
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+ - QuixiAI/open-instruct-uncensored
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+ - mlabonne/open-perfectblend
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+ language:
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+ - tr
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+ - en
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+ - de
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+ - es
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+ - fr
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+ - ru
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+ - zh
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+ - ja
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+ - ko
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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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+ - reasoning
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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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+ - text-generation
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+ - open-source
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+ - 14b
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+ - large-language-model
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+ - llm
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+ - transformer
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+ - artificial-intelligence
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+ - machine-learning
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+ - nlp
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+ - multilingual
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+ - instruction-tuned
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+ - chat
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+ - generative-ai
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+ - optimized
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+ - trl
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+ - sft
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+ - cognitive
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+ - analytical
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+ - enterprise
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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-8b
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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-8b-i1-GGUF).***
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+
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+ static quants are available at https://huggingface.co/mradermacher/next-8b-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-8b-i1-GGUF/resolve/main/next-8b.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own qwuants) |
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+ | [GGUF](https://huggingface.co/mradermacher/next-8b-i1-GGUF/resolve/main/next-8b.i1-Q2_K.gguf) | i1-Q2_K | 3.4 | IQ3_XXS probably better |
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+ | [GGUF](https://huggingface.co/mradermacher/next-8b-i1-GGUF/resolve/main/next-8b.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 3.5 | lower quality |
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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 -->