commit 2d5249632bfc82deb8abf450be23ed3092ccc4b3 Author: ModelHub XC Date: Sat Apr 11 04:46:55 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: mradermacher/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned-GGUF Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..3567fdd --- /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 +loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text +loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text +loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text +loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text +loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text +loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text +loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text +loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text +loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text +loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text +loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text +loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.f16.gguf filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..16923bb --- /dev/null +++ b/README.md @@ -0,0 +1,87 @@ +--- +base_model: kshitijthakkar/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned +datasets: +- kshitijthakkar/loggenix-mc-oraca-agentinstruct-1m-v1 +language: +- en +library_name: transformers +license: apache-2.0 +mradermacher: + readme_rev: 1 +quantized_by: mradermacher +tags: +- qwen3 +- qwen3moe +- mixture-of-experts +- llm +- text-generation +- instruction-following +- agentic-ai +- tool-use +- low-resource +- edge-ai +- from-scratch +- causal-lm +--- +## About + + + + + + + + + +static quants of https://huggingface.co/kshitijthakkar/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned + + + +***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned-GGUF).*** + +weighted/imatrix quants are available at https://huggingface.co/mradermacher/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned-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/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned-GGUF/resolve/main/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.Q2_K.gguf) | Q2_K | 0.2 | | +| [GGUF](https://huggingface.co/mradermacher/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned-GGUF/resolve/main/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.Q3_K_S.gguf) | Q3_K_S | 0.2 | | +| [GGUF](https://huggingface.co/mradermacher/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned-GGUF/resolve/main/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.Q3_K_M.gguf) | Q3_K_M | 0.2 | lower quality | +| [GGUF](https://huggingface.co/mradermacher/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned-GGUF/resolve/main/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.Q3_K_L.gguf) | Q3_K_L | 0.2 | | +| [GGUF](https://huggingface.co/mradermacher/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned-GGUF/resolve/main/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.IQ4_XS.gguf) | IQ4_XS | 0.2 | | +| [GGUF](https://huggingface.co/mradermacher/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned-GGUF/resolve/main/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.Q4_K_S.gguf) | Q4_K_S | 0.2 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned-GGUF/resolve/main/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.Q4_K_M.gguf) | Q4_K_M | 0.2 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned-GGUF/resolve/main/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.Q5_K_S.gguf) | Q5_K_S | 0.2 | | +| [GGUF](https://huggingface.co/mradermacher/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned-GGUF/resolve/main/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.Q5_K_M.gguf) | Q5_K_M | 0.2 | | +| [GGUF](https://huggingface.co/mradermacher/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned-GGUF/resolve/main/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.Q6_K.gguf) | Q6_K | 0.2 | very good quality | +| [GGUF](https://huggingface.co/mradermacher/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned-GGUF/resolve/main/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.Q8_0.gguf) | Q8_0 | 0.2 | fast, best quality | +| [GGUF](https://huggingface.co/mradermacher/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned-GGUF/resolve/main/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.f16.gguf) | f16 | 0.4 | 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/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.IQ4_XS.gguf b/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.IQ4_XS.gguf new file mode 100644 index 0000000..e1663b2 --- /dev/null +++ b/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned.IQ4_XS.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f4fdf8e7b27b57bdd593164dfc66ea5bd2f1a32d535b506b8769f6f23c77c2eb +size 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