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Model: bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF Source: Original Platform
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---
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quantized_by: bartowski
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pipeline_tag: text-generation
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base_model_relation: quantized
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base_model: TheDrummer/Gemma-3-R1-12B-v1
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---
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## Llamacpp imatrix Quantizations of Gemma-3-R1-12B-v1 by TheDrummer
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Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b6139">b6139</a> for quantization.
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Original model: https://huggingface.co/TheDrummer/Gemma-3-R1-12B-v1
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All quants made using imatrix option with dataset from [here](https://gist.github.com/bartowski1182/eb213dccb3571f863da82e99418f81e8) combined with a subset of combined_all_small.parquet from Ed Addario [here](https://huggingface.co/datasets/eaddario/imatrix-calibration/blob/main/combined_all_small.parquet)
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Run them in [LM Studio](https://lmstudio.ai/)
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Run them directly with [llama.cpp](https://github.com/ggerganov/llama.cpp), or any other llama.cpp based project
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## Prompt format
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No prompt format found, check original model page
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## Download a file (not the whole branch) from below:
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| Filename | Quant type | File Size | Split | Description |
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| -------- | ---------- | --------- | ----- | ----------- |
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| [Gemma-3-R1-12B-v1-bf16.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-12B-v1-bf16.gguf) | bf16 | 23.54GB | false | Full BF16 weights. |
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| [Gemma-3-R1-12B-v1-Q8_0.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-12B-v1-Q8_0.gguf) | Q8_0 | 12.51GB | false | Extremely high quality, generally unneeded but max available quant. |
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| [Gemma-3-R1-12B-v1-Q6_K_L.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-12B-v1-Q6_K_L.gguf) | Q6_K_L | 9.90GB | false | Uses Q8_0 for embed and output weights. Very high quality, near perfect, *recommended*. |
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| [Gemma-3-R1-12B-v1-Q6_K.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-12B-v1-Q6_K.gguf) | Q6_K | 9.66GB | false | Very high quality, near perfect, *recommended*. |
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| [Gemma-3-R1-12B-v1-Q5_K_L.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-12B-v1-Q5_K_L.gguf) | Q5_K_L | 8.69GB | false | Uses Q8_0 for embed and output weights. High quality, *recommended*. |
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| [Gemma-3-R1-12B-v1-Q5_K_M.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-12B-v1-Q5_K_M.gguf) | Q5_K_M | 8.45GB | false | High quality, *recommended*. |
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| [Gemma-3-R1-12B-v1-Q5_K_S.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-12B-v1-Q5_K_S.gguf) | Q5_K_S | 8.23GB | false | High quality, *recommended*. |
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| [Gemma-3-R1-12B-v1-Q4_1.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-12B-v1-Q4_1.gguf) | Q4_1 | 7.56GB | false | Legacy format, similar performance to Q4_K_S but with improved tokens/watt on Apple silicon. |
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| [Gemma-3-R1-12B-v1-Q4_K_L.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-12B-v1-Q4_K_L.gguf) | Q4_K_L | 7.54GB | false | Uses Q8_0 for embed and output weights. Good quality, *recommended*. |
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| [Gemma-3-R1-12B-v1-Q4_K_M.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-12B-v1-Q4_K_M.gguf) | Q4_K_M | 7.30GB | false | Good quality, default size for most use cases, *recommended*. |
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| [Gemma-3-R1-12B-v1-Q4_K_S.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-12B-v1-Q4_K_S.gguf) | Q4_K_S | 6.94GB | false | Slightly lower quality with more space savings, *recommended*. |
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| [Gemma-3-R1-12B-v1-Q4_0.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-12B-v1-Q4_0.gguf) | Q4_0 | 6.91GB | false | Legacy format, offers online repacking for ARM and AVX CPU inference. |
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| [Gemma-3-R1-12B-v1-IQ4_NL.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-12B-v1-IQ4_NL.gguf) | IQ4_NL | 6.89GB | false | Similar to IQ4_XS, but slightly larger. Offers online repacking for ARM CPU inference. |
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| [Gemma-3-R1-12B-v1-Q3_K_XL.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-12B-v1-Q3_K_XL.gguf) | Q3_K_XL | 6.72GB | false | Uses Q8_0 for embed and output weights. Lower quality but usable, good for low RAM availability. |
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| [Gemma-3-R1-12B-v1-IQ4_XS.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-12B-v1-IQ4_XS.gguf) | IQ4_XS | 6.55GB | false | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. |
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| [Gemma-3-R1-12B-v1-Q3_K_L.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-12B-v1-Q3_K_L.gguf) | Q3_K_L | 6.48GB | false | Lower quality but usable, good for low RAM availability. |
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| [Gemma-3-R1-12B-v1-Q3_K_M.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-12B-v1-Q3_K_M.gguf) | Q3_K_M | 6.01GB | false | Low quality. |
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| [Gemma-3-R1-12B-v1-IQ3_M.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-12B-v1-IQ3_M.gguf) | IQ3_M | 5.66GB | false | Medium-low quality, new method with decent performance comparable to Q3_K_M. |
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| [Gemma-3-R1-12B-v1-Q3_K_S.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-12B-v1-Q3_K_S.gguf) | Q3_K_S | 5.46GB | false | Low quality, not recommended. |
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| [Gemma-3-R1-12B-v1-IQ3_XS.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-12B-v1-IQ3_XS.gguf) | IQ3_XS | 5.21GB | false | Lower quality, new method with decent performance, slightly better than Q3_K_S. |
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| [Gemma-3-R1-12B-v1-Q2_K_L.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-12B-v1-Q2_K_L.gguf) | Q2_K_L | 5.01GB | false | Uses Q8_0 for embed and output weights. Very low quality but surprisingly usable. |
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| [Gemma-3-R1-12B-v1-IQ3_XXS.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-12B-v1-IQ3_XXS.gguf) | IQ3_XXS | 4.78GB | false | Lower quality, new method with decent performance, comparable to Q3 quants. |
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| [Gemma-3-R1-12B-v1-Q2_K.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-12B-v1-Q2_K.gguf) | Q2_K | 4.77GB | false | Very low quality but surprisingly usable. |
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| [Gemma-3-R1-12B-v1-IQ2_M.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-12B-v1-IQ2_M.gguf) | IQ2_M | 4.31GB | false | Relatively low quality, uses SOTA techniques to be surprisingly usable. |
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| [Gemma-3-R1-12B-v1-IQ2_S.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-12B-v1-IQ2_S.gguf) | IQ2_S | 4.02GB | false | Low quality, uses SOTA techniques to be usable. |
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## Embed/output weights
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Some of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to.
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## Downloading using huggingface-cli
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<details>
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<summary>Click to view download instructions</summary>
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First, make sure you have hugginface-cli installed:
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```
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pip install -U "huggingface_hub[cli]"
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```
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Then, you can target the specific file you want:
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```
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huggingface-cli download bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF --include "TheDrummer_Gemma-3-R1-12B-v1-Q4_K_M.gguf" --local-dir ./
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```
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If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run:
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```
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huggingface-cli download bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF --include "TheDrummer_Gemma-3-R1-12B-v1-Q8_0/*" --local-dir ./
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```
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You can either specify a new local-dir (TheDrummer_Gemma-3-R1-12B-v1-Q8_0) or download them all in place (./)
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</details>
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## ARM/AVX information
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Previously, you would download Q4_0_4_4/4_8/8_8, and these would have their weights interleaved in memory in order to improve performance on ARM and AVX machines by loading up more data in one pass.
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Now, however, there is something called "online repacking" for weights. details in [this PR](https://github.com/ggerganov/llama.cpp/pull/9921). If you use Q4_0 and your hardware would benefit from repacking weights, it will do it automatically on the fly.
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As of llama.cpp build [b4282](https://github.com/ggerganov/llama.cpp/releases/tag/b4282) you will not be able to run the Q4_0_X_X files and will instead need to use Q4_0.
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Additionally, if you want to get slightly better quality for , you can use IQ4_NL thanks to [this PR](https://github.com/ggerganov/llama.cpp/pull/10541) which will also repack the weights for ARM, though only the 4_4 for now. The loading time may be slower but it will result in an overall speed incrase.
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<details>
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<summary>Click to view Q4_0_X_X information (deprecated</summary>
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I'm keeping this section to show the potential theoretical uplift in performance from using the Q4_0 with online repacking.
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<details>
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<summary>Click to view benchmarks on an AVX2 system (EPYC7702)</summary>
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| model | size | params | backend | threads | test | t/s | % (vs Q4_0) |
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| ------------------------------ | ---------: | ---------: | ---------- | ------: | ------------: | -------------------: |-------------: |
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| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | pp512 | 204.03 ± 1.03 | 100% |
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| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | pp1024 | 282.92 ± 0.19 | 100% |
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| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | pp2048 | 259.49 ± 0.44 | 100% |
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| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | tg128 | 39.12 ± 0.27 | 100% |
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| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | tg256 | 39.31 ± 0.69 | 100% |
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| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | tg512 | 40.52 ± 0.03 | 100% |
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| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | pp512 | 301.02 ± 1.74 | 147% |
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| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | pp1024 | 287.23 ± 0.20 | 101% |
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| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | pp2048 | 262.77 ± 1.81 | 101% |
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| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | tg128 | 18.80 ± 0.99 | 48% |
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| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | tg256 | 24.46 ± 3.04 | 83% |
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| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | tg512 | 36.32 ± 3.59 | 90% |
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| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | pp512 | 271.71 ± 3.53 | 133% |
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| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | pp1024 | 279.86 ± 45.63 | 100% |
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| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | pp2048 | 320.77 ± 5.00 | 124% |
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| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | tg128 | 43.51 ± 0.05 | 111% |
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| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | tg256 | 43.35 ± 0.09 | 110% |
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| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | tg512 | 42.60 ± 0.31 | 105% |
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Q4_0_8_8 offers a nice bump to prompt processing and a small bump to text generation
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</details>
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</details>
|
||||||
|
|
||||||
|
## Which file should I choose?
|
||||||
|
|
||||||
|
<details>
|
||||||
|
<summary>Click here for details</summary>
|
||||||
|
|
||||||
|
A great write up with charts showing various performances is provided by Artefact2 [here](https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9)
|
||||||
|
|
||||||
|
The first thing to figure out is how big a model you can run. To do this, you'll need to figure out how much RAM and/or VRAM you have.
|
||||||
|
|
||||||
|
If you want your model running as FAST as possible, you'll want to fit the whole thing on your GPU's VRAM. Aim for a quant with a file size 1-2GB smaller than your GPU's total VRAM.
|
||||||
|
|
||||||
|
If you want the absolute maximum quality, add both your system RAM and your GPU's VRAM together, then similarly grab a quant with a file size 1-2GB Smaller than that total.
|
||||||
|
|
||||||
|
Next, you'll need to decide if you want to use an 'I-quant' or a 'K-quant'.
|
||||||
|
|
||||||
|
If you don't want to think too much, grab one of the K-quants. These are in format 'QX_K_X', like Q5_K_M.
|
||||||
|
|
||||||
|
If you want to get more into the weeds, you can check out this extremely useful feature chart:
|
||||||
|
|
||||||
|
[llama.cpp feature matrix](https://github.com/ggerganov/llama.cpp/wiki/Feature-matrix)
|
||||||
|
|
||||||
|
But basically, if you're aiming for below Q4, and you're running cuBLAS (Nvidia) or rocBLAS (AMD), you should look towards the I-quants. These are in format IQX_X, like IQ3_M. These are newer and offer better performance for their size.
|
||||||
|
|
||||||
|
These I-quants can also be used on CPU, but will be slower than their K-quant equivalent, so speed vs performance is a tradeoff you'll have to decide.
|
||||||
|
|
||||||
|
</details>
|
||||||
|
|
||||||
|
## Credits
|
||||||
|
|
||||||
|
Thank you kalomaze and Dampf for assistance in creating the imatrix calibration dataset.
|
||||||
|
|
||||||
|
Thank you ZeroWw for the inspiration to experiment with embed/output.
|
||||||
|
|
||||||
|
Thank you to LM Studio for sponsoring my work.
|
||||||
|
|
||||||
|
Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
|
||||||
3
TheDrummer_Gemma-3-R1-12B-v1-IQ2_M.gguf
Normal file
3
TheDrummer_Gemma-3-R1-12B-v1-IQ2_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:e16900b8f1e505dc04f93b836e65173349734cec8b93124c76ac2f7dc46b76ed
|
||||||
|
size 4310461120
|
||||||
3
TheDrummer_Gemma-3-R1-12B-v1-IQ2_S.gguf
Normal file
3
TheDrummer_Gemma-3-R1-12B-v1-IQ2_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:90a6bd3476ada62e44131d2de4531c6432ecbf83d37b125f47f9a0d22548e0b8
|
||||||
|
size 4020710080
|
||||||
3
TheDrummer_Gemma-3-R1-12B-v1-IQ3_M.gguf
Normal file
3
TheDrummer_Gemma-3-R1-12B-v1-IQ3_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:19332c21e53b021533d5a7ec3d5ba7dc1ba2db2565554b23c2792e7353889aba
|
||||||
|
size 5655722560
|
||||||
3
TheDrummer_Gemma-3-R1-12B-v1-IQ3_XS.gguf
Normal file
3
TheDrummer_Gemma-3-R1-12B-v1-IQ3_XS.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:39318bf6c463ed7097228c2edf9f992adeb3f396a7585df9cd845fd80523c2a2
|
||||||
|
size 5206166080
|
||||||
3
TheDrummer_Gemma-3-R1-12B-v1-IQ3_XXS.gguf
Normal file
3
TheDrummer_Gemma-3-R1-12B-v1-IQ3_XXS.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:69067b9437c783f362e60e85b111dd58625514884678af40e307d65e23da13de
|
||||||
|
size 4784900800
|
||||||
3
TheDrummer_Gemma-3-R1-12B-v1-IQ4_NL.gguf
Normal file
3
TheDrummer_Gemma-3-R1-12B-v1-IQ4_NL.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:d8706eaa27512c62e34fbb1352d78d07bd4dbe3766e98e2c272a1c4b58e15386
|
||||||
|
size 6887164480
|
||||||
3
TheDrummer_Gemma-3-R1-12B-v1-IQ4_XS.gguf
Normal file
3
TheDrummer_Gemma-3-R1-12B-v1-IQ4_XS.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:477c394a7ef9bc848233f9762f1413b348992587ec08a2806bb220048ab062b5
|
||||||
|
size 6550964800
|
||||||
3
TheDrummer_Gemma-3-R1-12B-v1-Q2_K.gguf
Normal file
3
TheDrummer_Gemma-3-R1-12B-v1-Q2_K.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:b55b1e241b584b58a78e2d79c0d389730d334c0ed96852a98b87b03b4df0a700
|
||||||
|
size 4768221760
|
||||||
3
TheDrummer_Gemma-3-R1-12B-v1-Q2_K_L.gguf
Normal file
3
TheDrummer_Gemma-3-R1-12B-v1-Q2_K_L.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:83f5ac1c1d1c2692a1e427519f505b98f812775a677d8fb3aa13c2db35348ed4
|
||||||
|
size 5012075200
|
||||||
3
TheDrummer_Gemma-3-R1-12B-v1-Q3_K_L.gguf
Normal file
3
TheDrummer_Gemma-3-R1-12B-v1-Q3_K_L.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:6cf4bc015be26cfcbfbbdd45ea6233461afdc22077b392dd68d6bb1b2944bc96
|
||||||
|
size 6480185920
|
||||||
3
TheDrummer_Gemma-3-R1-12B-v1-Q3_K_M.gguf
Normal file
3
TheDrummer_Gemma-3-R1-12B-v1-Q3_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:6ad4f96214ce14d215cbdb6faffbd80663e80c3fcec51027891d76961f250921
|
||||||
|
size 6008818240
|
||||||
3
TheDrummer_Gemma-3-R1-12B-v1-Q3_K_S.gguf
Normal file
3
TheDrummer_Gemma-3-R1-12B-v1-Q3_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:8100291b3b329d2f557e029bad906e00855125310100701310241984c81592b6
|
||||||
|
size 5458315840
|
||||||
3
TheDrummer_Gemma-3-R1-12B-v1-Q3_K_XL.gguf
Normal file
3
TheDrummer_Gemma-3-R1-12B-v1-Q3_K_XL.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:b3762bdcedfefac0c715c4a1a2d73c1dfcdc9063742e078dea1d5da87fd177d3
|
||||||
|
size 6724039360
|
||||||
3
TheDrummer_Gemma-3-R1-12B-v1-Q4_0.gguf
Normal file
3
TheDrummer_Gemma-3-R1-12B-v1-Q4_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:f8b2621d6a5b4fc32cb597415f6b45258bebda73e2f540a52caed25b99df9505
|
||||||
|
size 6909282880
|
||||||
3
TheDrummer_Gemma-3-R1-12B-v1-Q4_1.gguf
Normal file
3
TheDrummer_Gemma-3-R1-12B-v1-Q4_1.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:b559956e639406232c94765d76bac0b33a5d25c7e56a571ba40ba3ffa2a7bd09
|
||||||
|
size 7559563840
|
||||||
3
TheDrummer_Gemma-3-R1-12B-v1-Q4_K_L.gguf
Normal file
3
TheDrummer_Gemma-3-R1-12B-v1-Q4_K_L.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:fead3fe83d5731b3a1164f35847432712c9c9a389d7d6255eba0e35a8013c988
|
||||||
|
size 7544632000
|
||||||
3
TheDrummer_Gemma-3-R1-12B-v1-Q4_K_M.gguf
Normal file
3
TheDrummer_Gemma-3-R1-12B-v1-Q4_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:6517394bf14b85d6009e1ad8fd1fc6179fa3de3d091011cf14cacba1aee5b393
|
||||||
|
size 7300778560
|
||||||
3
TheDrummer_Gemma-3-R1-12B-v1-Q4_K_S.gguf
Normal file
3
TheDrummer_Gemma-3-R1-12B-v1-Q4_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:ddc662449c0d8abb82a6364fd8a45609722dadbc7e36b39d3cb3c4ae86f09fe8
|
||||||
|
size 6935333440
|
||||||
3
TheDrummer_Gemma-3-R1-12B-v1-Q5_K_L.gguf
Normal file
3
TheDrummer_Gemma-3-R1-12B-v1-Q5_K_L.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:eb31d601f678b2662138d6e8ffb800a30b54d187edc200f8ea5411bd6068bc29
|
||||||
|
size 8688890560
|
||||||
3
TheDrummer_Gemma-3-R1-12B-v1-Q5_K_M.gguf
Normal file
3
TheDrummer_Gemma-3-R1-12B-v1-Q5_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:13bab8551332724fd03bdfec745187df780bd9f8661754907301e9b0fada7d38
|
||||||
|
size 8445037120
|
||||||
3
TheDrummer_Gemma-3-R1-12B-v1-Q5_K_S.gguf
Normal file
3
TheDrummer_Gemma-3-R1-12B-v1-Q5_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:53c23efb112dae4ccb8e8ec4620ee510316890bc87a6aca6fd0668c2bdf2caf0
|
||||||
|
size 8231963200
|
||||||
3
TheDrummer_Gemma-3-R1-12B-v1-Q6_K.gguf
Normal file
3
TheDrummer_Gemma-3-R1-12B-v1-Q6_K.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:0fafe7ddbbd34a127609df61b40029a1380315377b004cb8da6efdda1177b54d
|
||||||
|
size 9660811840
|
||||||
3
TheDrummer_Gemma-3-R1-12B-v1-Q6_K_L.gguf
Normal file
3
TheDrummer_Gemma-3-R1-12B-v1-Q6_K_L.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:9e7fa5547515385d00b6971692be1e9e5797727138eb71e9bd29738235d61989
|
||||||
|
size 9904665280
|
||||||
3
TheDrummer_Gemma-3-R1-12B-v1-Q8_0.gguf
Normal file
3
TheDrummer_Gemma-3-R1-12B-v1-Q8_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:98cec663fd4a3045a4af656399bf246bf4158fa1ce066138a7243942e4f0d504
|
||||||
|
size 12510212800
|
||||||
3
TheDrummer_Gemma-3-R1-12B-v1-bf16.gguf
Normal file
3
TheDrummer_Gemma-3-R1-12B-v1-bf16.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:f805acb422d3236a5fe5f313d41fa78c888cc969d2dd1fb965fe673183d932eb
|
||||||
|
size 23540151712
|
||||||
3
TheDrummer_Gemma-3-R1-12B-v1-imatrix.gguf
Normal file
3
TheDrummer_Gemma-3-R1-12B-v1-imatrix.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:9e0fbde185c035134ae4f1830085080263633bc5923fba101eb77c7fc2bca647
|
||||||
|
size 7473632
|
||||||
1
configuration.json
Normal file
1
configuration.json
Normal file
@@ -0,0 +1 @@
|
|||||||
|
{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
|
||||||
Reference in New Issue
Block a user