add AIBOM
#13
by
RiccardoDav
- opened
- allenai_OLMo-1B.json +120 -0
allenai_OLMo-1B.json
ADDED
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{
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"bomFormat": "CycloneDX",
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"specVersion": "1.6",
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"serialNumber": "urn:uuid:c7a7cd4d-b598-4466-8f02-1ce70492fd11",
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"version": 1,
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"metadata": {
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"timestamp": "2025-06-05T09:39:19.611048+00:00",
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"component": {
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"type": "machine-learning-model",
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"bom-ref": "allenai/OLMo-1B-9441fd26-4ca0-5e30-91b5-8045c73a1f7c",
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"name": "allenai/OLMo-1B",
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"externalReferences": [
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{
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"url": "https://huggingface.co/allenai/OLMo-1B",
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"type": "documentation"
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}
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],
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"modelCard": {
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"modelParameters": {
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"task": "text-generation",
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"architectureFamily": "hf_olmo",
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"modelArchitecture": "OLMoForCausalLM",
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"datasets": [
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{
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"ref": "allenai/dolma-1717a952-0159-5eb7-85fb-7ccf03c0a520"
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}
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]
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},
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"properties": [
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{
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"name": "library_name",
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"value": "transformers"
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}
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],
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"consideration": {
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"useCases": "<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->"
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}
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},
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"authors": [
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{
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"name": "allenai"
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}
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],
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"licenses": [
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{
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"license": {
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"id": "Apache-2.0",
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"url": "https://spdx.org/licenses/Apache-2.0.html"
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}
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}
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],
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"description": "The core models released in this batch are the following:| Size | Training Tokens | Layers | Hidden Size | Attention Heads | Context Length ||------|--------|---------|-------------|-----------------|----------------|| [OLMo 1B](https://huggingface.co/allenai/OLMo-1B) | 3 Trillion |16 | 2048 | 16 | 2048 || [OLMo 7B](https://huggingface.co/allenai/OLMo-7B) | 2.5 Trillion | 32 | 4096 | 32 | 2048 || [OLMo 7B Twin 2T](https://huggingface.co/allenai/OLMo-7B-Twin-2T) | 2 Trillion | 32 | 4096 | 32 | 2048 |We are releasing many checkpoints for these models, for every 1000 traing steps.The naming convention is `step1000-tokens4B`.In particular, we focus on four revisions of the 7B models:| Name | HF Repo | Model Revision | Tokens | Note ||------------|---------|----------------|-------------------|------||OLMo 7B| [allenai/OLMo-7B](https://huggingface.co/allenai/OLMo-7B)|`main`| 2.5T|The base OLMo 7B model||OLMo 7B (not annealed)|[allenai/OLMo-7B](https://huggingface.co/allenai/OLMo-7B)|step556000-tokens2460B|2.5T| learning rate not annealed to 0||OLMo 7B-2T|[allenai/OLMo-7B](https://huggingface.co/allenai/OLMo-7B)| step452000-tokens2000B |2T| OLMo checkpoint at 2T tokens||OLMo-7B-Twin-2T|[allenai/OLMo-7B-Twin-2T](https://huggingface.co/allenai/OLMo-7B-Twin-2T)|`main`|2T| Twin version on different hardware|To load a specific model revision with HuggingFace, simply add the argument `revision`:```bashfrom hf_olmo import OLMoForCausalLM # pip install ai2-olmoolmo = OLMoForCausalLM.from_pretrained(\"allenai/OLMo-1B\", revision=\"step20000-tokens84B\")```All revisions/branches are listed in the file `revisions.txt`.Or, you can access all the revisions for the models via the following code snippet:```pythonfrom huggingface_hub import list_repo_refsout = list_repo_refs(\"allenai/OLMo-1B\")branches = [b.name for b in out.branches]```A few revisions were lost due to an error, but the vast majority are present.",
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"tags": [
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"transformers",
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"pytorch",
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"safetensors",
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"hf_olmo",
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"text-generation",
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"custom_code",
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"en",
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"dataset:allenai/dolma",
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"arxiv:2402.00838",
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"arxiv:2302.13971",
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"license:apache-2.0",
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"autotrain_compatible",
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"region:us"
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]
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}
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},
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"components": [
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{
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"type": "data",
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"bom-ref": "allenai/dolma-1717a952-0159-5eb7-85fb-7ccf03c0a520",
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"name": "allenai/dolma",
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"data": [
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{
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"type": "dataset",
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"bom-ref": "allenai/dolma-1717a952-0159-5eb7-85fb-7ccf03c0a520",
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"name": "allenai/dolma",
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"contents": {
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"url": "https://huggingface.co/datasets/allenai/dolma",
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"properties": [
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{
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"name": "task_categories",
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"value": "text-generation"
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},
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{
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"name": "language",
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"value": "en"
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},
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{
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"name": "size_categories",
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"value": "n>1T"
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},
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{
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"name": "pretty_name",
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"value": "Dolma"
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},
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{
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"name": "license",
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"value": "odc-by"
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}
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]
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},
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"governance": {
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"owners": [
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{
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"organization": {
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"name": "allenai",
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"url": "https://huggingface.co/allenai"
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}
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}
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]
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},
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"description": "Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research"
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}
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]
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}
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]
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}
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