mradermacher/ahma-3b-gguf Q3_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.
Model Intelligence Sheet
mradermacher/ahma-3b-gguf overview
About static quants of https://huggingface.co/Finnish-NLP/Ahma-3B weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Downloads
167
Likes
0
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
15 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Ahma-3B.IQ3_M.gguf | GGUF | IQ3_M | 2.07 GB | Download |
| Ahma-3B.IQ3_S.gguf | GGUF | IQ3_S | 2.00 GB | Download |
| Ahma-3B.IQ3_XS.gguf | GGUF | IQ3_XS | 2.00 GB | Download |
| Ahma-3B.IQ4_XS.gguf | GGUF | IQ4_XS | 2.02 GB | Download |
| Ahma-3B.Q2_K.gguf | GGUF | Q2_K | 2.00 GB | Download |
| Ahma-3B.Q3_K_L.gguf | GGUF | Q3_K_L | 2.22 GB | Download |
| Ahma-3B.Q3_K_M.gguf | GGUF | Q3_K_M | 2.15 GB | Download |
| Ahma-3B.Q3_K_S.gguf | GGUF | Q3_K_S | 2.00 GB | Download |
| Ahma-3B.Q4_K_M.gguf | GGUF | Q4_K_M | 2.57 GB | Download |
| Ahma-3B.Q4_K_S.gguf | GGUF | Q4_K_S | 2.41 GB | Download |
| Ahma-3B.Q5_K_M.gguf | GGUF | Q5_K_M | 2.74 GB | Download |
| Ahma-3B.Q5_K_S.gguf | GGUF | Q5_K_S | 2.60 GB | Download |
| Ahma-3B.Q6_K.gguf | GGUF | Q6_K | 3.60 GB | Download |
| Ahma-3B.Q8_0.gguf | GGUF | — | 3.60 GB | Download |
| Ahma-3B.f16.gguf | GGUF | F16 | 6.77 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "Finnish-NLP/Ahma-3B",
"datasets": [
"Finnish-NLP/CulturaX_fi_cleaned",
"Finnish-NLP/HPLT_1.2_fi_cleaned",
"Finnish-NLP/wikipedia_20231101_fi_cleaned",
"Finnish-NLP/Reddit_fi_2006_2022",
"intfloat/multilingual_cc_news"
],
"language": [
"fi"
],
"library_name": "transformers",
"license": "apache-2.0",
"quantized_by": "mradermacher",
"tags": [
"finnish",
"llama"
],
"frontmatter": {
"base_model": "Finnish-NLP/Ahma-3B",
"datasets": [
"Finnish-NLP/CulturaX_fi_cleaned",
"Finnish-NLP/HPLT_1.2_fi_cleaned",
"Finnish-NLP/wikipedia_20231101_fi_cleaned",
"Finnish-NLP/Reddit_fi_2006_2022",
"intfloat/multilingual_cc_news"
],
"language": [
"fi"
],
"library_name": "transformers",
"license": "apache-2.0",
"quantized_by": "mradermacher",
"tags": [
"finnish",
"llama"
]
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About static quants of https://huggingface.co/Finnish-NLP/Ahma-3B weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: Finnish-NLP/Ahma-3B\ndatasets:\n- Finnish-NLP/CulturaX_fi_cleaned\n- Finnish-NLP/HPLT_1.2_fi_cleaned\n- Finnish-NLP/wikipedia_20231101_fi_cleaned\n- Finnish-NLP/Reddit_fi_2006_2022\n- intfloat/multilingual_cc_news\nlanguage:\n- fi\nlibrary_name: transformers\nlicense: apache-2.0\nquantized_by: mradermacher\ntags:\n- finnish\n- llama\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type: -->\n<!-- ### tags: -->\nstatic quants of https://huggingface.co/Finnish-NLP/Ahma-3B\n\n<!-- provided-files -->\nweighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.\n## Usage\n\nIf you are unsure how to use GGUF files, refer to one of [TheBloke's\nREADMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for\nmore details, including on how to concatenate multi-part files.\n\n## Provided Quants\n\n(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)\n\n| Link | Type | Size/GB | Notes |\n|:-----|:-----|--------:|:------|\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.IQ3_S.gguf) | IQ3_S | 2.2 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.IQ3_XS.gguf) | IQ3_XS | 2.2 | |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.Q2_K.gguf) | Q2_K | 2.2 | |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.Q3_K_S.gguf) | Q3_K_S | 2.2 | |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.IQ4_XS.gguf) | IQ4_XS | 2.3 | |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.IQ3_M.gguf) | IQ3_M | 2.3 | |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.Q3_K_M.gguf) | Q3_K_M | 2.4 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.Q3_K_L.gguf) | Q3_K_L | 2.5 | |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.Q4_K_S.gguf) | Q4_K_S | 2.7 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.Q4_K_M.gguf) | Q4_K_M | 2.9 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.Q5_K_S.gguf) | Q5_K_S | 2.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.Q5_K_M.gguf) | Q5_K_M | 3.0 | |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.Q6_K.gguf) | Q6_K | 4.0 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.Q8_0.gguf) | Q8_0 | 4.0 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.f16.gguf) | f16 | 7.4 | 16 bpw, overkill |\n\nHere is a handy graph by ikawrakow comparing some lower-quality quant\ntypes (lower is better):\n\n\n\nAnd here are Artefact2's thoughts on the matter:\nhttps://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9\n\n## FAQ / Model Request\n\nSee https://huggingface.co/mradermacher/model_requests for some answers to\nquestions you might have and/or if you want some other model quantized.\n\n## Thanks\n\nI thank my company, [nethype GmbH](https://www.nethype.de/), for letting\nme use its servers and providing upgrades to my workstation to enable\nthis work in my free time.\n\n<!-- end -->\n",
"related_quantizations": []
},
"tags": [
"transformers",
"gguf",
"finnish",
"llama",
"fi",
"dataset:Finnish-NLP/CulturaX_fi_cleaned",
"dataset:Finnish-NLP/HPLT_1.2_fi_cleaned",
"dataset:Finnish-NLP/wikipedia_20231101_fi_cleaned",
"dataset:Finnish-NLP/Reddit_fi_2006_2022",
"dataset:intfloat/multilingual_cc_news",
"base_model:Finnish-NLP/Ahma-3B",
"base_model:quantized:Finnish-NLP/Ahma-3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 0,
"downloads": 167,
"gated": false,
"private": false,
"last_modified": "2024-06-16T02:34:01.000Z",
"created_at": "2024-06-16T02:18:11.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "666e4b631f975c1f8658f96c",
"id": "mradermacher/Ahma-3B-GGUF",
"modelId": "mradermacher/Ahma-3B-GGUF",
"sha": "fbf34107e67e5c123c45fc82b7238a3096753b7d",
"createdAt": "2024-06-16T02:18:11.000Z",
"lastModified": "2024-06-16T02:34:01.000Z",
"author": "mradermacher",
"downloads": 167,
"likes": 0,
"gated": false,
"private": false,
"pipeline_tag": "",
"library_name": "transformers",
"siblings_count": 17
}