Llamacpp quants

.gitattributes

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README.md

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+---
+library_name: transformers
+widget:
+- messages:
+  - role: user
+    content: How does the brain work?
+inference:
+  parameters:
+    max_new_tokens: 200
+extra_gated_heading: Access Gemma on Hugging Face
+extra_gated_prompt: >-
+  To access Gemma on Hugging Face, you’re required to review and agree to
+  Google’s usage license. To do this, please ensure you’re logged-in to Hugging
+  Face and click below. Requests are processed immediately.
+extra_gated_button_content: Acknowledge license
+license: gemma
+quantized_by: bartowski
+pipeline_tag: text-generation
+---
+
+## Llamacpp Quantizations of gemma-1.1-7b-it
+
+Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2589">b2589</a> for quantization.
+
+Original model: https://huggingface.co/google/gemma-1.1-7b-it
+
+Download a file (not the whole branch) from below:
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [gemma-1.1-7b-it-Q8_0.gguf](https://huggingface.co/bartowski/gemma-1.1-7b-it-GGUF/blob/main/gemma-1.1-7b-it-Q8_0.gguf) | Q8_0 | 9.07GB | Extremely high quality, generally unneeded but max available quant. |
+| [gemma-1.1-7b-it-Q6_K.gguf](https://huggingface.co/bartowski/gemma-1.1-7b-it-GGUF/blob/main/gemma-1.1-7b-it-Q6_K.gguf) | Q6_K | 7.01GB | Very high quality, near perfect, *recommended*. |
+| [gemma-1.1-7b-it-Q5_K_M.gguf](https://huggingface.co/bartowski/gemma-1.1-7b-it-GGUF/blob/main/gemma-1.1-7b-it-Q5_K_M.gguf) | Q5_K_M | 6.14GB | High quality, very usable. |
+| [gemma-1.1-7b-it-Q5_K_S.gguf](https://huggingface.co/bartowski/gemma-1.1-7b-it-GGUF/blob/main/gemma-1.1-7b-it-Q5_K_S.gguf) | Q5_K_S | 5.98GB | High quality, very usable. |
+| [gemma-1.1-7b-it-Q5_0.gguf](https://huggingface.co/bartowski/gemma-1.1-7b-it-GGUF/blob/main/gemma-1.1-7b-it-Q5_0.gguf) | Q5_0 | 5.98GB | High quality, older format, generally not recommended. |
+| [gemma-1.1-7b-it-Q4_K_M.gguf](https://huggingface.co/bartowski/gemma-1.1-7b-it-GGUF/blob/main/gemma-1.1-7b-it-Q4_K_M.gguf) | Q4_K_M | 5.32GB | Good quality, uses about 4.83 bits per weight. |
+| [gemma-1.1-7b-it-Q4_K_S.gguf](https://huggingface.co/bartowski/gemma-1.1-7b-it-GGUF/blob/main/gemma-1.1-7b-it-Q4_K_S.gguf) | Q4_K_S | 5.04GB | Slightly lower quality with small space savings. |
+| [gemma-1.1-7b-it-IQ4_NL.gguf](https://huggingface.co/bartowski/gemma-1.1-7b-it-GGUF/blob/main/gemma-1.1-7b-it-IQ4_NL.gguf) | IQ4_NL | 5.04GB | Decent quality, similar to Q4_K_S, new method of quanting, |
+| [gemma-1.1-7b-it-IQ4_XS.gguf](https://huggingface.co/bartowski/gemma-1.1-7b-it-GGUF/blob/main/gemma-1.1-7b-it-IQ4_XS.gguf) | IQ4_XS | 4.80GB | Decent quality, new method with similar performance to Q4. |
+| [gemma-1.1-7b-it-Q4_0.gguf](https://huggingface.co/bartowski/gemma-1.1-7b-it-GGUF/blob/main/gemma-1.1-7b-it-Q4_0.gguf) | Q4_0 | 5.01GB | Decent quality, older format, generally not recommended. |
+| [gemma-1.1-7b-it-Q3_K_L.gguf](https://huggingface.co/bartowski/gemma-1.1-7b-it-GGUF/blob/main/gemma-1.1-7b-it-Q3_K_L.gguf) | Q3_K_L | 4.70GB | Lower quality but usable, good for low RAM availability. |
+| [gemma-1.1-7b-it-Q3_K_M.gguf](https://huggingface.co/bartowski/gemma-1.1-7b-it-GGUF/blob/main/gemma-1.1-7b-it-Q3_K_M.gguf) | Q3_K_M | 4.36GB | Even lower quality. |
+| [gemma-1.1-7b-it-IQ3_M.gguf](https://huggingface.co/bartowski/gemma-1.1-7b-it-GGUF/blob/main/gemma-1.1-7b-it-IQ3_M.gguf) | IQ3_M | 4.10GB | Medium-low quality, new method with decent performance. |
+| [gemma-1.1-7b-it-IQ3_S.gguf](https://huggingface.co/bartowski/gemma-1.1-7b-it-GGUF/blob/main/gemma-1.1-7b-it-IQ3_S.gguf) | IQ3_S | 3.98GB | Lower quality, new method with decent performance, recommended over Q3 quants. |
+| [gemma-1.1-7b-it-Q3_K_S.gguf](https://huggingface.co/bartowski/gemma-1.1-7b-it-GGUF/blob/main/gemma-1.1-7b-it-Q3_K_S.gguf) | Q3_K_S | 3.98GB | Low quality, not recommended. |
+| [gemma-1.1-7b-it-Q2_K.gguf](https://huggingface.co/bartowski/gemma-1.1-7b-it-GGUF/blob/main/gemma-1.1-7b-it-Q2_K.gguf) | Q2_K | 3.48GB | Extremely low quality, *not* recommended. |
+
+Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski

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