--- base_model: glogwa68/granite-4.0-h-1b-DISTILL-glm-4.7 library_name: gguf license: apache-2.0 language: - en - fr tags: - granite - gguf - quantized - llama.cpp - ollama quantized_by: llama.cpp pipeline_tag: text-generation --- # granite-4.0-h-1b-DISTILL-glm-4.7-GGUF GGUF quantized versions of [granite-4.0-h-1b-DISTILL-glm-4.7](https://huggingface.co/glogwa68/granite-4.0-h-1b-DISTILL-glm-4.7) ## Available Formats | Filename | Size | Quant Type | Description | |----------|------|------------|-------------| | [granite-4.0-h-1b-DISTILL-glm-4.7-f16.gguf](https://huggingface.co/glogwa68/granite-4.0-h-1b-DISTILL-glm-4.7-GGUF/blob/main/granite-4.0-h-1b-DISTILL-glm-4.7-f16.gguf) | 2.73 GB | GRANITE-4.0-H-1B-DISTILL-GLM-4.7-F16 | | | [granite-4.0-h-1b-DISTILL-glm-4.7-q2_k.gguf](https://huggingface.co/glogwa68/granite-4.0-h-1b-DISTILL-glm-4.7-GGUF/blob/main/granite-4.0-h-1b-DISTILL-glm-4.7-q2_k.gguf) | 0.55 GB | GRANITE-4.0-H-1B-DISTILL-GLM-4.7-Q2_K | | | [granite-4.0-h-1b-DISTILL-glm-4.7-q3_k_l.gguf](https://huggingface.co/glogwa68/granite-4.0-h-1b-DISTILL-glm-4.7-GGUF/blob/main/granite-4.0-h-1b-DISTILL-glm-4.7-q3_k_l.gguf) | 0.71 GB | GRANITE-4.0-H-1B-DISTILL-GLM-4.7-Q3_K_L | | | [granite-4.0-h-1b-DISTILL-glm-4.7-q3_k_m.gguf](https://huggingface.co/glogwa68/granite-4.0-h-1b-DISTILL-glm-4.7-GGUF/blob/main/granite-4.0-h-1b-DISTILL-glm-4.7-q3_k_m.gguf) | 0.68 GB | GRANITE-4.0-H-1B-DISTILL-GLM-4.7-Q3_K_M | | | [granite-4.0-h-1b-DISTILL-glm-4.7-q3_k_s.gguf](https://huggingface.co/glogwa68/granite-4.0-h-1b-DISTILL-glm-4.7-GGUF/blob/main/granite-4.0-h-1b-DISTILL-glm-4.7-q3_k_s.gguf) | 0.65 GB | GRANITE-4.0-H-1B-DISTILL-GLM-4.7-Q3_K_S | | | [granite-4.0-h-1b-DISTILL-glm-4.7-q4_0.gguf](https://huggingface.co/glogwa68/granite-4.0-h-1b-DISTILL-glm-4.7-GGUF/blob/main/granite-4.0-h-1b-DISTILL-glm-4.7-q4_0.gguf) | 0.81 GB | GRANITE-4.0-H-1B-DISTILL-GLM-4.7-Q4_0 | | | [granite-4.0-h-1b-DISTILL-glm-4.7-q4_1.gguf](https://huggingface.co/glogwa68/granite-4.0-h-1b-DISTILL-glm-4.7-GGUF/blob/main/granite-4.0-h-1b-DISTILL-glm-4.7-q4_1.gguf) | 0.88 GB | GRANITE-4.0-H-1B-DISTILL-GLM-4.7-Q4_1 | | | [granite-4.0-h-1b-DISTILL-glm-4.7-q4_k_m.gguf](https://huggingface.co/glogwa68/granite-4.0-h-1b-DISTILL-glm-4.7-GGUF/blob/main/granite-4.0-h-1b-DISTILL-glm-4.7-q4_k_m.gguf) | 0.84 GB | GRANITE-4.0-H-1B-DISTILL-GLM-4.7-Q4_K_M | | | [granite-4.0-h-1b-DISTILL-glm-4.7-q4_k_s.gguf](https://huggingface.co/glogwa68/granite-4.0-h-1b-DISTILL-glm-4.7-GGUF/blob/main/granite-4.0-h-1b-DISTILL-glm-4.7-q4_k_s.gguf) | 0.81 GB | GRANITE-4.0-H-1B-DISTILL-GLM-4.7-Q4_K_S | | | [granite-4.0-h-1b-DISTILL-glm-4.7-q5_0.gguf](https://huggingface.co/glogwa68/granite-4.0-h-1b-DISTILL-glm-4.7-GGUF/blob/main/granite-4.0-h-1b-DISTILL-glm-4.7-q5_0.gguf) | 0.96 GB | GRANITE-4.0-H-1B-DISTILL-GLM-4.7-Q5_0 | | | [granite-4.0-h-1b-DISTILL-glm-4.7-q5_1.gguf](https://huggingface.co/glogwa68/granite-4.0-h-1b-DISTILL-glm-4.7-GGUF/blob/main/granite-4.0-h-1b-DISTILL-glm-4.7-q5_1.gguf) | 1.04 GB | GRANITE-4.0-H-1B-DISTILL-GLM-4.7-Q5_1 | | | [granite-4.0-h-1b-DISTILL-glm-4.7-q5_k_m.gguf](https://huggingface.co/glogwa68/granite-4.0-h-1b-DISTILL-glm-4.7-GGUF/blob/main/granite-4.0-h-1b-DISTILL-glm-4.7-q5_k_m.gguf) | 0.98 GB | GRANITE-4.0-H-1B-DISTILL-GLM-4.7-Q5_K_M | | | [granite-4.0-h-1b-DISTILL-glm-4.7-q5_k_s.gguf](https://huggingface.co/glogwa68/granite-4.0-h-1b-DISTILL-glm-4.7-GGUF/blob/main/granite-4.0-h-1b-DISTILL-glm-4.7-q5_k_s.gguf) | 0.96 GB | GRANITE-4.0-H-1B-DISTILL-GLM-4.7-Q5_K_S | | | [granite-4.0-h-1b-DISTILL-glm-4.7-q6_k.gguf](https://huggingface.co/glogwa68/granite-4.0-h-1b-DISTILL-glm-4.7-GGUF/blob/main/granite-4.0-h-1b-DISTILL-glm-4.7-q6_k.gguf) | 1.12 GB | GRANITE-4.0-H-1B-DISTILL-GLM-4.7-Q6_K | | | [granite-4.0-h-1b-DISTILL-glm-4.7-q8_0.gguf](https://huggingface.co/glogwa68/granite-4.0-h-1b-DISTILL-glm-4.7-GGUF/blob/main/granite-4.0-h-1b-DISTILL-glm-4.7-q8_0.gguf) | 1.45 GB | GRANITE-4.0-H-1B-DISTILL-GLM-4.7-Q8_0 | | ## Quick Start ### Ollama ```bash # Use Q4_K_M (recommended) ollama run hf.co/glogwa68/granite-4.0-h-1b-DISTILL-glm-4.7-GGUF:Q4_K_M # Or other quantizations ollama run hf.co/glogwa68/granite-4.0-h-1b-DISTILL-glm-4.7-GGUF:Q8_0 ollama run hf.co/glogwa68/granite-4.0-h-1b-DISTILL-glm-4.7-GGUF:Q2_K ``` ### llama.cpp ```bash # Download and run llama-cli --hf-repo glogwa68/granite-4.0-h-1b-DISTILL-glm-4.7-GGUF --hf-file granite-4.0-h-1b-distill-glm-4.7-q4_k_m.gguf -p "Hello, how are you?" # With server llama-server --hf-repo glogwa68/granite-4.0-h-1b-DISTILL-glm-4.7-GGUF --hf-file granite-4.0-h-1b-distill-glm-4.7-q4_k_m.gguf -c 2048 ``` ### LM Studio / GPT4All Download the `.gguf` file of your choice and load it in your application. ## Quantization Details | Type | Bits | Use Case | |------|------|----------| | Q2_K | 2 | Extreme compression, low quality | | Q3_K_M | 3 | Very compressed | | Q4_K_M | 4 | **Recommended** - Best size/quality | | Q5_K_M | 5 | High quality | | Q6_K | 6 | Very high quality | | Q8_0 | 8 | Near lossless | | F16 | 16 | Original precision | ## Original Model This is the quantized version of [granite-4.0-h-1b-DISTILL-glm-4.7](https://huggingface.co/glogwa68/granite-4.0-h-1b-DISTILL-glm-4.7) - **Base Model:** ibm-granite/granite-4.0-h-1b - **Fine-tuning Dataset:** TeichAI/glm-4.7-2000x - **Training Loss:** 0.6364