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Atlas-Pro-7B-Preview-GGUF

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Duplicate from mradermacher/Atlas-Pro-7B-Preview-GGUF

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Co-authored-by: team mradermacher <mradermacher@users.noreply.huggingface.co>

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+ ---
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+ base_model: Spestly/Atlas-Pro-7B-Preview
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+ datasets:
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+ - openai/gsm8k
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+ - HuggingFaceH4/ultrachat_200k
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+ language:
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+ - en
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+ - zh
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+ - fr
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+ - es
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+ - pt
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+ - de
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+ - it
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+ - ru
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+ - ja
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+ - ko
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+ - vi
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+ - th
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+ - ar
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+ - fa
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+ - he
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+ - tr
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+ - cs
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+ - pl
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+ - hi
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+ - bn
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+ - ur
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+ - id
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+ - ms
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+ - lo
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+ - my
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+ - ceb
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+ - km
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+ - tl
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+ - nl
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+ library_name: transformers
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+ license: mit
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+ quantized_by: mradermacher
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+ tags:
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+ - text-generation-inference
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+ - transformers
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+ - unsloth
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+ - qwen2
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+ - trl
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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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+ <!-- ### vocab_type: -->
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+ <!-- ### tags: -->
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+ static quants of https://huggingface.co/Spestly/Atlas-Pro-7B-Preview
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+
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+ <!-- provided-files -->
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+ weighted/imatrix quants are available at https://huggingface.co/mradermacher/Atlas-Pro-7B-Preview-i1-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/Atlas-Pro-7B-Preview-GGUF/resolve/main/Atlas-Pro-7B-Preview.Q2_K.gguf) | Q2_K | 3.1 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-7B-Preview-GGUF/resolve/main/Atlas-Pro-7B-Preview.Q3_K_S.gguf) | Q3_K_S | 3.6 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-7B-Preview-GGUF/resolve/main/Atlas-Pro-7B-Preview.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |
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+ | [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-7B-Preview-GGUF/resolve/main/Atlas-Pro-7B-Preview.Q3_K_L.gguf) | Q3_K_L | 4.2 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-7B-Preview-GGUF/resolve/main/Atlas-Pro-7B-Preview.IQ4_XS.gguf) | IQ4_XS | 4.4 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-7B-Preview-GGUF/resolve/main/Atlas-Pro-7B-Preview.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-7B-Preview-GGUF/resolve/main/Atlas-Pro-7B-Preview.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-7B-Preview-GGUF/resolve/main/Atlas-Pro-7B-Preview.Q5_K_S.gguf) | Q5_K_S | 5.4 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-7B-Preview-GGUF/resolve/main/Atlas-Pro-7B-Preview.Q5_K_M.gguf) | Q5_K_M | 5.5 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-7B-Preview-GGUF/resolve/main/Atlas-Pro-7B-Preview.Q6_K.gguf) | Q6_K | 6.4 | very good quality |
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+ | [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-7B-Preview-GGUF/resolve/main/Atlas-Pro-7B-Preview.Q8_0.gguf) | Q8_0 | 8.2 | fast, best quality |
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+ | [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-7B-Preview-GGUF/resolve/main/Atlas-Pro-7B-Preview.f16.gguf) | f16 | 15.3 | 16 bpw, overkill |
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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.
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+
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+ <!-- end -->