commit 4bd624fa5879a3f96418f22981bd30d14c1623cd Author: ModelHub XC Date: Fri Sep 25 11:05:16 2026 +0800 初始化项目,由ModelHub XC社区提供模型 Model: mradermacher/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b-GGUF Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..2867728 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,47 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text +ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text +ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text +ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.f16.gguf filter=lfs diff=lfs merge=lfs -text +ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text +ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text +ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text +ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text +ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text +ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text +ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text +ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..431a2f4 --- /dev/null +++ b/README.md @@ -0,0 +1,75 @@ +--- +base_model: shisa-ai/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b +datasets: +- shisa-ai/shisa-v2-best-of-n-athenev2-tulu70b-llama33-only +- shisa-ai/shisa-v2-roleplaying +- shisa-ai/translation-master-set +language: +- en +library_name: transformers +license: llama3.1 +mradermacher: + readme_rev: 1 +quantized_by: mradermacher +tags: +- generated_from_trainer +--- +## About + + + + + + +static quants of https://huggingface.co/shisa-ai/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b + + + +***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b-GGUF).*** + +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/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b-GGUF/resolve/main/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.Q2_K.gguf) | Q2_K | 3.3 | | +| [GGUF](https://huggingface.co/mradermacher/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b-GGUF/resolve/main/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.Q3_K_S.gguf) | Q3_K_S | 3.8 | | +| [GGUF](https://huggingface.co/mradermacher/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b-GGUF/resolve/main/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality | +| [GGUF](https://huggingface.co/mradermacher/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b-GGUF/resolve/main/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.Q3_K_L.gguf) | Q3_K_L | 4.4 | | +| [GGUF](https://huggingface.co/mradermacher/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b-GGUF/resolve/main/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.IQ4_XS.gguf) | IQ4_XS | 4.6 | | +| [GGUF](https://huggingface.co/mradermacher/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b-GGUF/resolve/main/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b-GGUF/resolve/main/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.Q4_K_M.gguf) | Q4_K_M | 5.0 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b-GGUF/resolve/main/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.Q5_K_S.gguf) | Q5_K_S | 5.7 | | +| [GGUF](https://huggingface.co/mradermacher/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b-GGUF/resolve/main/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.Q5_K_M.gguf) | Q5_K_M | 5.8 | | +| [GGUF](https://huggingface.co/mradermacher/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b-GGUF/resolve/main/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.Q6_K.gguf) | Q6_K | 6.7 | very good quality | +| [GGUF](https://huggingface.co/mradermacher/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b-GGUF/resolve/main/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality | +| [GGUF](https://huggingface.co/mradermacher/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b-GGUF/resolve/main/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.f16.gguf) | f16 | 16.2 | 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. + + diff --git a/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.IQ4_XS.gguf b/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.IQ4_XS.gguf new file mode 100644 index 0000000..03db651 --- /dev/null +++ b/ablation-84-bestofn.atlo.rp.tl-shisa-v2-llama-3.1-8b.IQ4_XS.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2366b2ca0ad5758463a0416ed82c50d6ecc3b09869fb6706b54a0f01a00c0c28 +size 4484364896 diff 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