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b/LeetCodeWizard_7B_V1.1.i1-Q5_K_S.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2592731d96bbd41c851d8817e005d58ff8a364728e0e1dc632f0aaab95d23fd0 +size 4651724032 diff --git a/LeetCodeWizard_7B_V1.1.i1-Q6_K.gguf b/LeetCodeWizard_7B_V1.1.i1-Q6_K.gguf new file mode 100644 index 0000000..79e8742 --- /dev/null +++ b/LeetCodeWizard_7B_V1.1.i1-Q6_K.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d41afd60ac15c9fee2f1209f2a1d1e580485a5cf48f536dea7fb117228422ab5 +size 5529229216 diff --git a/README.md b/README.md new file mode 100644 index 0000000..a9b50fd --- /dev/null +++ b/README.md @@ -0,0 +1,78 @@ +--- +base_model: Nan-Do/LeetCodeWizard_7B_V1.1 +language: +- en +library_name: transformers +license: llama2 +quantized_by: mradermacher +tags: +- Python +- Leetcode +- Problem Solving +- CP +--- +## About + + + + + + +weighted/imatrix quants of https://huggingface.co/Nan-Do/LeetCodeWizard_7B_V1.1 + + +static quants are available at https://huggingface.co/mradermacher/LeetCodeWizard_7B_V1.1-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/LeetCodeWizard_7B_V1.1-i1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.i1-IQ1_S.gguf) | i1-IQ1_S | 1.6 | for the desperate | +| [GGUF](https://huggingface.co/mradermacher/LeetCodeWizard_7B_V1.1-i1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.i1-IQ1_M.gguf) | i1-IQ1_M | 1.8 | mostly desperate | +| [GGUF](https://huggingface.co/mradermacher/LeetCodeWizard_7B_V1.1-i1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.0 | | +| [GGUF](https://huggingface.co/mradermacher/LeetCodeWizard_7B_V1.1-i1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.1 | | +| [GGUF](https://huggingface.co/mradermacher/LeetCodeWizard_7B_V1.1-i1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.i1-IQ2_S.gguf) | i1-IQ2_S | 2.3 | | +| [GGUF](https://huggingface.co/mradermacher/LeetCodeWizard_7B_V1.1-i1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.i1-IQ2_M.gguf) | i1-IQ2_M | 2.5 | | +| [GGUF](https://huggingface.co/mradermacher/LeetCodeWizard_7B_V1.1-i1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.i1-Q2_K.gguf) | i1-Q2_K | 2.6 | IQ3_XXS probably better | +| [GGUF](https://huggingface.co/mradermacher/LeetCodeWizard_7B_V1.1-i1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 2.7 | lower quality | +| [GGUF](https://huggingface.co/mradermacher/LeetCodeWizard_7B_V1.1-i1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.i1-IQ3_XS.gguf) | i1-IQ3_XS | 2.9 | | +| [GGUF](https://huggingface.co/mradermacher/LeetCodeWizard_7B_V1.1-i1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.i1-IQ3_S.gguf) | i1-IQ3_S | 3.0 | beats Q3_K* | +| [GGUF](https://huggingface.co/mradermacher/LeetCodeWizard_7B_V1.1-i1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.0 | IQ3_XS probably better | +| [GGUF](https://huggingface.co/mradermacher/LeetCodeWizard_7B_V1.1-i1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.i1-IQ3_M.gguf) | i1-IQ3_M | 3.2 | | +| [GGUF](https://huggingface.co/mradermacher/LeetCodeWizard_7B_V1.1-i1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.i1-Q3_K_M.gguf) | i1-Q3_K_M | 3.4 | IQ3_S probably better | +| [GGUF](https://huggingface.co/mradermacher/LeetCodeWizard_7B_V1.1-i1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.i1-Q3_K_L.gguf) | i1-Q3_K_L | 3.7 | IQ3_M probably better | +| [GGUF](https://huggingface.co/mradermacher/LeetCodeWizard_7B_V1.1-i1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.i1-IQ4_XS.gguf) | i1-IQ4_XS | 3.7 | | +| [GGUF](https://huggingface.co/mradermacher/LeetCodeWizard_7B_V1.1-i1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.i1-Q4_0.gguf) | i1-Q4_0 | 3.9 | fast, low quality | +| [GGUF](https://huggingface.co/mradermacher/LeetCodeWizard_7B_V1.1-i1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.0 | optimal size/speed/quality | +| [GGUF](https://huggingface.co/mradermacher/LeetCodeWizard_7B_V1.1-i1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.i1-Q4_K_M.gguf) | i1-Q4_K_M | 4.2 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/LeetCodeWizard_7B_V1.1-i1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.i1-Q5_K_S.gguf) | i1-Q5_K_S | 4.8 | | +| [GGUF](https://huggingface.co/mradermacher/LeetCodeWizard_7B_V1.1-i1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.i1-Q5_K_M.gguf) | i1-Q5_K_M | 4.9 | | +| [GGUF](https://huggingface.co/mradermacher/LeetCodeWizard_7B_V1.1-i1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.i1-Q6_K.gguf) | i1-Q6_K | 5.6 | practically like static Q6_K | + +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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to. + + diff --git a/imatrix.dat b/imatrix.dat new file mode 100644 index 0000000..a5b81f1 --- /dev/null +++ b/imatrix.dat @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5caf451aa6ec236af86434f83ae949addf78cea25fcce3c0683028b6fd2c827e +size 4562173