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README.md

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+---
+base_model: internlm/internlm2-20b
+datasets:
+- ai2_arc
+- allenai/ultrafeedback_binarized_cleaned
+- argilla/distilabel-intel-orca-dpo-pairs
+- jondurbin/airoboros-3.2
+- codeparrot/apps
+- facebook/belebele
+- bluemoon-fandom-1-1-rp-cleaned
+- boolq
+- camel-ai/biology
+- camel-ai/chemistry
+- camel-ai/math
+- camel-ai/physics
+- jondurbin/contextual-dpo-v0.1
+- jondurbin/gutenberg-dpo-v0.1
+- jondurbin/py-dpo-v0.1
+- jondurbin/truthy-dpo-v0.1
+- LDJnr/Capybara
+- jondurbin/cinematika-v0.1
+- WizardLM/WizardLM_evol_instruct_70k
+- glaiveai/glaive-function-calling-v2
+- jondurbin/gutenberg-dpo-v0.1
+- grimulkan/LimaRP-augmented
+- lmsys/lmsys-chat-1m
+- ParisNeo/lollms_aware_dataset
+- TIGER-Lab/MathInstruct
+- Muennighoff/natural-instructions
+- openbookqa
+- kingbri/PIPPA-shareGPT
+- piqa
+- Vezora/Tested-22k-Python-Alpaca
+- ropes
+- cakiki/rosetta-code
+- Open-Orca/SlimOrca
+- b-mc2/sql-create-context
+- squad_v2
+- mattpscott/airoboros-summarization
+- migtissera/Synthia-v1.3
+- unalignment/toxic-dpo-v0.2
+- WhiteRabbitNeo/WRN-Chapter-1
+- WhiteRabbitNeo/WRN-Chapter-2
+- winogrande
+exported_from: jondurbin/bagel-dpo-20b-v04
+language:
+- en
+library_name: transformers
+license: other
+license_link: https://huggingface.co/internlm/internlm2-20b#open-source-license
+license_name: internlm2-20b
+quantized_by: mradermacher
+---
+## About
+
 <!-- ### convert_type:  -->
 <!-- ### vocab_type:  -->
 static quants of https://huggingface.co/jondurbin/bagel-dpo-20b-v04
+
+
+<!-- provided-files -->
+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/bagel-dpo-20b-v04-GGUF/resolve/main/bagel-dpo-20b-v04.Q2_K.gguf) | Q2_K | 8.3 |  |
+| [GGUF](https://huggingface.co/mradermacher/bagel-dpo-20b-v04-GGUF/resolve/main/bagel-dpo-20b-v04.IQ3_XS.gguf) | IQ3_XS | 9.1 |  |
+| [GGUF](https://huggingface.co/mradermacher/bagel-dpo-20b-v04-GGUF/resolve/main/bagel-dpo-20b-v04.Q3_K_S.gguf) | Q3_K_S | 9.5 |  |
+| [GGUF](https://huggingface.co/mradermacher/bagel-dpo-20b-v04-GGUF/resolve/main/bagel-dpo-20b-v04.IQ3_S.gguf) | IQ3_S | 9.6 | beats Q3_K* |
+| [GGUF](https://huggingface.co/mradermacher/bagel-dpo-20b-v04-GGUF/resolve/main/bagel-dpo-20b-v04.IQ3_M.gguf) | IQ3_M | 9.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/bagel-dpo-20b-v04-GGUF/resolve/main/bagel-dpo-20b-v04.Q3_K_M.gguf) | Q3_K_M | 10.5 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/bagel-dpo-20b-v04-GGUF/resolve/main/bagel-dpo-20b-v04.Q3_K_L.gguf) | Q3_K_L | 11.3 |  |
+| [GGUF](https://huggingface.co/mradermacher/bagel-dpo-20b-v04-GGUF/resolve/main/bagel-dpo-20b-v04.Q4_K_S.gguf) | Q4_K_S | 12.2 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/bagel-dpo-20b-v04-GGUF/resolve/main/bagel-dpo-20b-v04.Q4_K_M.gguf) | Q4_K_M | 12.8 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/bagel-dpo-20b-v04-GGUF/resolve/main/bagel-dpo-20b-v04.Q5_K_S.gguf) | Q5_K_S | 14.5 |  |
+| [GGUF](https://huggingface.co/mradermacher/bagel-dpo-20b-v04-GGUF/resolve/main/bagel-dpo-20b-v04.Q5_K_M.gguf) | Q5_K_M | 14.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/bagel-dpo-20b-v04-GGUF/resolve/main/bagel-dpo-20b-v04.Q6_K.gguf) | Q6_K | 17.1 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/bagel-dpo-20b-v04-GGUF/resolve/main/bagel-dpo-20b-v04.Q8_0.gguf) | Q8_0 | 21.7 | fast, best quality |
+| [GGUF](https://huggingface.co/mradermacher/bagel-dpo-20b-v04-GGUF/resolve/main/bagel-dpo-20b-v04.SOURCE.gguf) | SOURCE | 39.8 | source gguf, only provided when it was hard to come by |
+
+
+Here is a handy graph by ikawrakow comparing some lower-quality quant
+types (lower is better):
+
+![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
+
+And here are Artefact2's thoughts on the matter:
+https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
+
+## 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 -->