itlwas/dolphin3.0-llama3.2-1b-q4_k_m-gguf Q4_K_M GGUF - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.
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itlwas/dolphin3.0-llama3.2-1b-q4_k_m-gguf overview
This model was converted to GGUF format from cognitivecomputations/Dolphin3.0-Llama3.2-1B using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.
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| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| dolphin3.0-llama3.2-1b-q4_k_m.gguf | GGUF | Q4_K_M | 770.28 MB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"license": "llama3.2",
"datasets": [
"OpenCoder-LLM/opc-sft-stage1",
"OpenCoder-LLM/opc-sft-stage2",
"microsoft/orca-agentinstruct-1M-v1",
"microsoft/orca-math-word-problems-200k",
"NousResearch/hermes-function-calling-v1",
"AI-MO/NuminaMath-CoT",
"AI-MO/NuminaMath-TIR",
"allenai/tulu-3-sft-mixture",
"cognitivecomputations/dolphin-coder",
"HuggingFaceTB/smoltalk",
"cognitivecomputations/samantha-data",
"m-a-p/CodeFeedback-Filtered-Instruction",
"m-a-p/Code-Feedback"
],
"language": [
"en"
],
"base_model": "cognitivecomputations/Dolphin3.0-Llama3.2-1B",
"tags": [
"llama-cpp",
"gguf-my-repo"
],
"frontmatter": {
"license": "llama3.2",
"datasets": [
"OpenCoder-LLM/opc-sft-stage1",
"OpenCoder-LLM/opc-sft-stage2",
"microsoft/orca-agentinstruct-1M-v1",
"microsoft/orca-math-word-problems-200k",
"NousResearch/hermes-function-calling-v1",
"AI-MO/NuminaMath-CoT",
"AI-MO/NuminaMath-TIR",
"allenai/tulu-3-sft-mixture",
"cognitivecomputations/dolphin-coder",
"HuggingFaceTB/smoltalk",
"cognitivecomputations/samantha-data",
"m-a-p/CodeFeedback-Filtered-Instruction",
"m-a-p/Code-Feedback"
],
"language": [
"en"
],
"base_model": "cognitivecomputations/Dolphin3.0-Llama3.2-1B",
"tags": [
"llama-cpp",
"gguf-my-repo"
]
},
"hero_image_url": "",
"summary": "This model was converted to GGUF format from cognitivecomputations/Dolphin3.0-Llama3.2-1B using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nlicense: llama3.2\ndatasets:\n- OpenCoder-LLM/opc-sft-stage1\n- OpenCoder-LLM/opc-sft-stage2\n- microsoft/orca-agentinstruct-1M-v1\n- microsoft/orca-math-word-problems-200k\n- NousResearch/hermes-function-calling-v1\n- AI-MO/NuminaMath-CoT\n- AI-MO/NuminaMath-TIR\n- allenai/tulu-3-sft-mixture\n- cognitivecomputations/dolphin-coder\n- HuggingFaceTB/smoltalk\n- cognitivecomputations/samantha-data\n- m-a-p/CodeFeedback-Filtered-Instruction\n- m-a-p/Code-Feedback\nlanguage:\n- en\nbase_model: cognitivecomputations/Dolphin3.0-Llama3.2-1B\ntags:\n- llama-cpp\n- gguf-my-repo\n---\n\n# itlwas/Dolphin3.0-Llama3.2-1B-Q4_K_M-GGUF\nThis model was converted to GGUF format from [`cognitivecomputations/Dolphin3.0-Llama3.2-1B`](https://huggingface.co/cognitivecomputations/Dolphin3.0-Llama3.2-1B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.\nRefer to the [original model card](https://huggingface.co/cognitivecomputations/Dolphin3.0-Llama3.2-1B) for more details on the model.\n\n## Use with llama.cpp\nInstall llama.cpp through brew (works on Mac and Linux)\n\n```bash\nbrew install llama.cpp\n\n```\nInvoke the llama.cpp server or the CLI.\n\n### CLI:\n```bash\nllama-cli --hf-repo itlwas/Dolphin3.0-Llama3.2-1B-Q4_K_M-GGUF --hf-file dolphin3.0-llama3.2-1b-q4_k_m.gguf -p \"The meaning to life and the universe is\"\n```\n\n### Server:\n```bash\nllama-server --hf-repo itlwas/Dolphin3.0-Llama3.2-1B-Q4_K_M-GGUF --hf-file dolphin3.0-llama3.2-1b-q4_k_m.gguf -c 2048\n```\n\nNote: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.\n\nStep 1: Clone llama.cpp from GitHub.\n```\ngit clone https://github.com/ggerganov/llama.cpp\n```\n\nStep 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).\n```\ncd llama.cpp && LLAMA_CURL=1 make\n```\n\nStep 3: Run inference through the main binary.\n```\n./llama-cli --hf-repo itlwas/Dolphin3.0-Llama3.2-1B-Q4_K_M-GGUF --hf-file dolphin3.0-llama3.2-1b-q4_k_m.gguf -p \"The meaning to life and the universe is\"\n```\nor \n```\n./llama-server --hf-repo itlwas/Dolphin3.0-Llama3.2-1B-Q4_K_M-GGUF --hf-file dolphin3.0-llama3.2-1b-q4_k_m.gguf -c 2048\n```\n",
"related_quantizations": []
},
"tags": [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:OpenCoder-LLM/opc-sft-stage1",
"dataset:OpenCoder-LLM/opc-sft-stage2",
"dataset:microsoft/orca-agentinstruct-1M-v1",
"dataset:microsoft/orca-math-word-problems-200k",
"dataset:NousResearch/hermes-function-calling-v1",
"dataset:AI-MO/NuminaMath-CoT",
"dataset:AI-MO/NuminaMath-TIR",
"dataset:allenai/tulu-3-sft-mixture",
"dataset:cognitivecomputations/dolphin-coder",
"dataset:HuggingFaceTB/smoltalk",
"dataset:cognitivecomputations/samantha-data",
"dataset:m-a-p/CodeFeedback-Filtered-Instruction",
"dataset:m-a-p/Code-Feedback",
"base_model:dphn/Dolphin3.0-Llama3.2-1B",
"base_model:quantized:dphn/Dolphin3.0-Llama3.2-1B",
"license:llama3.2",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 0,
"downloads": 151,
"gated": false,
"private": false,
"last_modified": "2025-01-05T16:49:38.000Z",
"created_at": "2025-01-05T16:49:32.000Z",
"pipeline_tag": "",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "677ab81c09e0c28a8ba33ce4",
"id": "itlwas/Dolphin3.0-Llama3.2-1B-Q4_K_M-GGUF",
"modelId": "itlwas/Dolphin3.0-Llama3.2-1B-Q4_K_M-GGUF",
"sha": "4141f2c397a674834a6f49223a56a5f4e2f49035",
"createdAt": "2025-01-05T16:49:32.000Z",
"lastModified": "2025-01-05T16:49:38.000Z",
"author": "itlwas",
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}