From ea78b5dd90c4e9a30004a65881c1656efad9541e Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Mon, 25 May 2026 10:18:16 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: mradermacher/1.5-Pints-16K-v0.1-GGUF Source: Original Platform --- .gitattributes | 47 +++++++++++++++ 1.5-Pints-16K-v0.1.IQ4_XS.gguf | 3 + 1.5-Pints-16K-v0.1.Q2_K.gguf | 3 + 1.5-Pints-16K-v0.1.Q3_K_L.gguf | 3 + 1.5-Pints-16K-v0.1.Q3_K_M.gguf | 3 + 1.5-Pints-16K-v0.1.Q3_K_S.gguf | 3 + 1.5-Pints-16K-v0.1.Q4_K_M.gguf | 3 + 1.5-Pints-16K-v0.1.Q4_K_S.gguf | 3 + 1.5-Pints-16K-v0.1.Q5_K_M.gguf | 3 + 1.5-Pints-16K-v0.1.Q5_K_S.gguf | 3 + 1.5-Pints-16K-v0.1.Q6_K.gguf | 3 + 1.5-Pints-16K-v0.1.Q8_0.gguf | 3 + 1.5-Pints-16K-v0.1.f16.gguf | 3 + README.md | 105 +++++++++++++++++++++++++++++++++ 14 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that all texts in the training corpora are royalty free, this does not constitute + a legal guarantee that such is the case. **By using any of the models, corpora or + part thereof, the user agrees to bear full responsibility to do the necessary due + diligence to ensure that he / she is in compliance with their local copyright laws. + Additionally, the user agrees to bear any damages arising as a direct cause (or + otherwise) of using any artifacts released by the pints research team, as well as + full responsibility for the consequences of his / her usage (or implementation) + of any such released artifacts. The user also indemnifies Pints Research Team (and + any of its members or agents) of any damage, related or unrelated, to the release + or subsequent usage of any findings, artifacts or code by the team. For the avoidance + of doubt, any artifacts released by the Pints Research team are done so in accordance + with the 'fair use' clause of Copyright Law, in hopes that this will aid the research + community in bringing LLMs to the next frontier. +language: +- en +library_name: transformers +license: mit +mradermacher: + readme_rev: 1 +quantized_by: mradermacher +--- +## About + + + + + + +static quants of https://huggingface.co/pints-ai/1.5-Pints-16K-v0.1 + + + +***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#1.5-Pints-16K-v0.1-GGUF).*** + +weighted/imatrix quants are available at https://huggingface.co/mradermacher/1.5-Pints-16K-v0.1-i1-GGUF +## 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/1.5-Pints-16K-v0.1-GGUF/resolve/main/1.5-Pints-16K-v0.1.Q2_K.gguf) | Q2_K | 0.7 | | +| [GGUF](https://huggingface.co/mradermacher/1.5-Pints-16K-v0.1-GGUF/resolve/main/1.5-Pints-16K-v0.1.Q3_K_S.gguf) | Q3_K_S | 0.8 | | +| [GGUF](https://huggingface.co/mradermacher/1.5-Pints-16K-v0.1-GGUF/resolve/main/1.5-Pints-16K-v0.1.Q3_K_M.gguf) | Q3_K_M | 0.9 | lower quality | +| [GGUF](https://huggingface.co/mradermacher/1.5-Pints-16K-v0.1-GGUF/resolve/main/1.5-Pints-16K-v0.1.Q3_K_L.gguf) | Q3_K_L | 0.9 | | +| [GGUF](https://huggingface.co/mradermacher/1.5-Pints-16K-v0.1-GGUF/resolve/main/1.5-Pints-16K-v0.1.IQ4_XS.gguf) | IQ4_XS | 1.0 | | +| [GGUF](https://huggingface.co/mradermacher/1.5-Pints-16K-v0.1-GGUF/resolve/main/1.5-Pints-16K-v0.1.Q4_K_S.gguf) | Q4_K_S | 1.0 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/1.5-Pints-16K-v0.1-GGUF/resolve/main/1.5-Pints-16K-v0.1.Q4_K_M.gguf) | Q4_K_M | 1.1 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/1.5-Pints-16K-v0.1-GGUF/resolve/main/1.5-Pints-16K-v0.1.Q5_K_S.gguf) | Q5_K_S | 1.2 | | +| [GGUF](https://huggingface.co/mradermacher/1.5-Pints-16K-v0.1-GGUF/resolve/main/1.5-Pints-16K-v0.1.Q5_K_M.gguf) | Q5_K_M | 1.2 | | +| [GGUF](https://huggingface.co/mradermacher/1.5-Pints-16K-v0.1-GGUF/resolve/main/1.5-Pints-16K-v0.1.Q6_K.gguf) | Q6_K | 1.4 | very good quality | +| [GGUF](https://huggingface.co/mradermacher/1.5-Pints-16K-v0.1-GGUF/resolve/main/1.5-Pints-16K-v0.1.Q8_0.gguf) | Q8_0 | 1.8 | fast, best quality | +| [GGUF](https://huggingface.co/mradermacher/1.5-Pints-16K-v0.1-GGUF/resolve/main/1.5-Pints-16K-v0.1.f16.gguf) | f16 | 3.2 | 16 bpw, overkill | + +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 + +## 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](https://www.nethype.de/), for letting +me use its servers and providing upgrades to my workstation to enable +this work in my free time. + +