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Model: bartowski/TheDrummer_Gemma-3-R1-4B-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-R1-4B-v1
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---
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## Llamacpp imatrix Quantizations of Gemma-3-R1-4B-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-R1-4B-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-R1-4B-v1-bf16.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-4B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-4B-v1-bf16.gguf) | bf16 | 7.77GB | false | Full BF16 weights. |
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| [Gemma-3-R1-4B-v1-Q8_0.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-4B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-4B-v1-Q8_0.gguf) | Q8_0 | 4.13GB | false | Extremely high quality, generally unneeded but max available quant. |
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| [Gemma-3-R1-4B-v1-Q6_K_L.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-4B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-4B-v1-Q6_K_L.gguf) | Q6_K_L | 3.35GB | false | Uses Q8_0 for embed and output weights. Very high quality, near perfect, *recommended*. |
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| [Gemma-3-R1-4B-v1-Q6_K.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-4B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-4B-v1-Q6_K.gguf) | Q6_K | 3.19GB | false | Very high quality, near perfect, *recommended*. |
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| [Gemma-3-R1-4B-v1-Q5_K_L.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-4B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-4B-v1-Q5_K_L.gguf) | Q5_K_L | 2.99GB | false | Uses Q8_0 for embed and output weights. High quality, *recommended*. |
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| [Gemma-3-R1-4B-v1-Q5_K_M.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-4B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-4B-v1-Q5_K_M.gguf) | Q5_K_M | 2.83GB | false | High quality, *recommended*. |
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| [Gemma-3-R1-4B-v1-Q5_K_S.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-4B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-4B-v1-Q5_K_S.gguf) | Q5_K_S | 2.76GB | false | High quality, *recommended*. |
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| [Gemma-3-R1-4B-v1-Q4_K_L.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-4B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-4B-v1-Q4_K_L.gguf) | Q4_K_L | 2.65GB | false | Uses Q8_0 for embed and output weights. Good quality, *recommended*. |
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| [Gemma-3-R1-4B-v1-Q4_1.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-4B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-4B-v1-Q4_1.gguf) | Q4_1 | 2.56GB | false | Legacy format, similar performance to Q4_K_S but with improved tokens/watt on Apple silicon. |
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| [Gemma-3-R1-4B-v1-Q4_K_M.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-4B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-4B-v1-Q4_K_M.gguf) | Q4_K_M | 2.49GB | false | Good quality, default size for most use cases, *recommended*. |
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| [Gemma-3-R1-4B-v1-Q3_K_XL.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-4B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-4B-v1-Q3_K_XL.gguf) | Q3_K_XL | 2.40GB | false | Uses Q8_0 for embed and output weights. Lower quality but usable, good for low RAM availability. |
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| [Gemma-3-R1-4B-v1-Q4_K_S.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-4B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-4B-v1-Q4_K_S.gguf) | Q4_K_S | 2.38GB | false | Slightly lower quality with more space savings, *recommended*. |
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| [Gemma-3-R1-4B-v1-Q4_0.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-4B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-4B-v1-Q4_0.gguf) | Q4_0 | 2.37GB | false | Legacy format, offers online repacking for ARM and AVX CPU inference. |
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| [Gemma-3-R1-4B-v1-IQ4_NL.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-4B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-4B-v1-IQ4_NL.gguf) | IQ4_NL | 2.36GB | false | Similar to IQ4_XS, but slightly larger. Offers online repacking for ARM CPU inference. |
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| [Gemma-3-R1-4B-v1-IQ4_XS.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-4B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-4B-v1-IQ4_XS.gguf) | IQ4_XS | 2.26GB | false | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. |
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| [Gemma-3-R1-4B-v1-Q3_K_L.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-4B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-4B-v1-Q3_K_L.gguf) | Q3_K_L | 2.24GB | false | Lower quality but usable, good for low RAM availability. |
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| [Gemma-3-R1-4B-v1-Q3_K_M.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-4B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-4B-v1-Q3_K_M.gguf) | Q3_K_M | 2.10GB | false | Low quality. |
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| [Gemma-3-R1-4B-v1-IQ3_M.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-4B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-4B-v1-IQ3_M.gguf) | IQ3_M | 1.99GB | false | Medium-low quality, new method with decent performance comparable to Q3_K_M. |
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| [Gemma-3-R1-4B-v1-Q3_K_S.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-4B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-4B-v1-Q3_K_S.gguf) | Q3_K_S | 1.94GB | false | Low quality, not recommended. |
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| [Gemma-3-R1-4B-v1-Q2_K_L.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-4B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-4B-v1-Q2_K_L.gguf) | Q2_K_L | 1.89GB | false | Uses Q8_0 for embed and output weights. Very low quality but surprisingly usable. |
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| [Gemma-3-R1-4B-v1-IQ3_XS.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-4B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-4B-v1-IQ3_XS.gguf) | IQ3_XS | 1.86GB | false | Lower quality, new method with decent performance, slightly better than Q3_K_S. |
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| [Gemma-3-R1-4B-v1-Q2_K.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-4B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-4B-v1-Q2_K.gguf) | Q2_K | 1.73GB | false | Very low quality but surprisingly usable. |
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| [Gemma-3-R1-4B-v1-IQ3_XXS.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-4B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-4B-v1-IQ3_XXS.gguf) | IQ3_XXS | 1.69GB | false | Lower quality, new method with decent performance, comparable to Q3 quants. |
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| [Gemma-3-R1-4B-v1-IQ2_M.gguf](https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-4B-v1-GGUF/blob/main/TheDrummer_Gemma-3-R1-4B-v1-IQ2_M.gguf) | IQ2_M | 1.54GB | false | Relatively low quality, uses SOTA techniques to be surprisingly 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-R1-4B-v1-GGUF --include "TheDrummer_Gemma-3-R1-4B-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-R1-4B-v1-GGUF --include "TheDrummer_Gemma-3-R1-4B-v1-Q8_0/*" --local-dir ./
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```
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You can either specify a new local-dir (TheDrummer_Gemma-3-R1-4B-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>
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## Which file should I choose?
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<details>
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<summary>Click here for details</summary>
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||||||
|
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-R1-4B-v1-IQ2_M.gguf
Normal file
3
TheDrummer_Gemma-3-R1-4B-v1-IQ2_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:c73fecf48de68fe96dd8d5491444d5792ac09a0157625496c0ea2ad3bf5b3e7c
|
||||||
|
size 1537982528
|
||||||
3
TheDrummer_Gemma-3-R1-4B-v1-IQ3_M.gguf
Normal file
3
TheDrummer_Gemma-3-R1-4B-v1-IQ3_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:5e62a07d8e6259599827ece3039ee8f8818f7ad41a431874b69081938b74aa9b
|
||||||
|
size 1986803008
|
||||||
3
TheDrummer_Gemma-3-R1-4B-v1-IQ3_XS.gguf
Normal file
3
TheDrummer_Gemma-3-R1-4B-v1-IQ3_XS.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
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||||||
|
oid sha256:780d58066fdc5936c04c605f5b13997b009e6c53ee89c0de0876770da91828ec
|
||||||
|
size 1863390528
|
||||||
3
TheDrummer_Gemma-3-R1-4B-v1-IQ3_XXS.gguf
Normal file
3
TheDrummer_Gemma-3-R1-4B-v1-IQ3_XXS.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
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||||||
|
oid sha256:f221eb7d9de9af59216b645a9d84cb421896c5dc952a44cb2314f3eadb0bb85b
|
||||||
|
size 1689452608
|
||||||
3
TheDrummer_Gemma-3-R1-4B-v1-IQ4_NL.gguf
Normal file
3
TheDrummer_Gemma-3-R1-4B-v1-IQ4_NL.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:f633c34e019a24f610105a62002cad8bde4be38113dd0288bec38c64ea4937dc
|
||||||
|
size 2363512128
|
||||||
3
TheDrummer_Gemma-3-R1-4B-v1-IQ4_XS.gguf
Normal file
3
TheDrummer_Gemma-3-R1-4B-v1-IQ4_XS.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:a81778b332048b807bd4f414969022eb0a1ae5ce0b46f07deb9607bb3894a431
|
||||||
|
size 2263242048
|
||||||
3
TheDrummer_Gemma-3-R1-4B-v1-Q2_K.gguf
Normal file
3
TheDrummer_Gemma-3-R1-4B-v1-Q2_K.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:1d3d4d5ffbab2e036b729f008232f13e8b4adfdb45f1edc5abfaec8ad102099d
|
||||||
|
size 1729164608
|
||||||
3
TheDrummer_Gemma-3-R1-4B-v1-Q2_K_L.gguf
Normal file
3
TheDrummer_Gemma-3-R1-4B-v1-Q2_K_L.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:7ff091ad022f426d7da63bc6600f5c53a24ce1e074cb80d376a9f62f5a72d8e7
|
||||||
|
size 1891733568
|
||||||
3
TheDrummer_Gemma-3-R1-4B-v1-Q3_K_L.gguf
Normal file
3
TheDrummer_Gemma-3-R1-4B-v1-Q3_K_L.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:fb97a305ed7b5b2c44a98b13dbefbf017ceb3fe4b5ac5016ddf0a7b1e302fc21
|
||||||
|
size 2236085568
|
||||||
3
TheDrummer_Gemma-3-R1-4B-v1-Q3_K_M.gguf
Normal file
3
TheDrummer_Gemma-3-R1-4B-v1-Q3_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:e23384b013fd7d7a4769f2fda63e81c0fc1f5d2c4e592c9034ec3f85b0ef4f43
|
||||||
|
size 2098459968
|
||||||
3
TheDrummer_Gemma-3-R1-4B-v1-Q3_K_S.gguf
Normal file
3
TheDrummer_Gemma-3-R1-4B-v1-Q3_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:407335bcc087e8ac9ebc2c02c320868b13f0c6475b2e8d1a8472017bc41bca11
|
||||||
|
size 1937364288
|
||||||
3
TheDrummer_Gemma-3-R1-4B-v1-Q3_K_XL.gguf
Normal file
3
TheDrummer_Gemma-3-R1-4B-v1-Q3_K_XL.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:e464098b91afe316bbe04f8c3948a954d4e511f585a9bd50a63ad1ad8905ea8b
|
||||||
|
size 2398654528
|
||||||
3
TheDrummer_Gemma-3-R1-4B-v1-Q4_0.gguf
Normal file
3
TheDrummer_Gemma-3-R1-4B-v1-Q4_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:fe7bf82ecde40fe0fc1eb8d499589676b9a30585a352ad54a67e77edff4e6298
|
||||||
|
size 2370065728
|
||||||
3
TheDrummer_Gemma-3-R1-4B-v1-Q4_1.gguf
Normal file
3
TheDrummer_Gemma-3-R1-4B-v1-Q4_1.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:31054d37772600780e1a91b22d980ad995602ac7d133190208749bdb455622c2
|
||||||
|
size 2564052288
|
||||||
3
TheDrummer_Gemma-3-R1-4B-v1-Q4_K_L.gguf
Normal file
3
TheDrummer_Gemma-3-R1-4B-v1-Q4_K_L.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:e291fd612d630390f4f5365fb4fccfb58886a431ad849f95df3ba05444a03d7e
|
||||||
|
size 2652463168
|
||||||
3
TheDrummer_Gemma-3-R1-4B-v1-Q4_K_M.gguf
Normal file
3
TheDrummer_Gemma-3-R1-4B-v1-Q4_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:72a7dc5bddbdf6bbea0d47aea8573d6baa191f4ddebd75547091c991678bcd08
|
||||||
|
size 2489894208
|
||||||
3
TheDrummer_Gemma-3-R1-4B-v1-Q4_K_S.gguf
Normal file
3
TheDrummer_Gemma-3-R1-4B-v1-Q4_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:36274277f077ea30bc50a3b7a5aa2f7be206c849484c37463e437d9a46b14189
|
||||||
|
size 2377930048
|
||||||
3
TheDrummer_Gemma-3-R1-4B-v1-Q5_K_L.gguf
Normal file
3
TheDrummer_Gemma-3-R1-4B-v1-Q5_K_L.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:b8836459220db3301ec5574dc3f8a77f37264613c55a7ccf21eaef3c0c4fb2da
|
||||||
|
size 2992267328
|
||||||
3
TheDrummer_Gemma-3-R1-4B-v1-Q5_K_M.gguf
Normal file
3
TheDrummer_Gemma-3-R1-4B-v1-Q5_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:ce2a08687bb6009fd99633e82f1eda1899ba43790390194e345a01ec8356399f
|
||||||
|
size 2829698368
|
||||||
3
TheDrummer_Gemma-3-R1-4B-v1-Q5_K_S.gguf
Normal file
3
TheDrummer_Gemma-3-R1-4B-v1-Q5_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:3b35e60995b6339b856f08654dce8d38a4705fcbc193d8c8766dbce435fba16e
|
||||||
|
size 2764592448
|
||||||
3
TheDrummer_Gemma-3-R1-4B-v1-Q6_K.gguf
Normal file
3
TheDrummer_Gemma-3-R1-4B-v1-Q6_K.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:03447a9a331a934592dfdea2414931110448c0850b3d88d2d2eff84e580c623a
|
||||||
|
size 3190740288
|
||||||
3
TheDrummer_Gemma-3-R1-4B-v1-Q6_K_L.gguf
Normal file
3
TheDrummer_Gemma-3-R1-4B-v1-Q6_K_L.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:59d3377e6589dcf7881ad8cde4eebf40bc34aafe31d5e63a259b8611227d429a
|
||||||
|
size 3353309248
|
||||||
3
TheDrummer_Gemma-3-R1-4B-v1-Q8_0.gguf
Normal file
3
TheDrummer_Gemma-3-R1-4B-v1-Q8_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:58bd8e78955f42012d7d39e3458bd10f792bd8bbcabf95bceda8c113b248483b
|
||||||
|
size 4130402368
|
||||||
3
TheDrummer_Gemma-3-R1-4B-v1-bf16.gguf
Normal file
3
TheDrummer_Gemma-3-R1-4B-v1-bf16.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:fce7b7cb85c09b03e3bbf1e4e389bae495386a7ec90f0da1a9b6277a5ff0859e
|
||||||
|
size 7767803680
|
||||||
3
TheDrummer_Gemma-3-R1-4B-v1-imatrix.gguf
Normal file
3
TheDrummer_Gemma-3-R1-4B-v1-imatrix.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:3e250c8ae830c08880b7a7db72df4f13c75b58dce81b7574390aecc82ec3b537
|
||||||
|
size 3448608
|
||||||
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