5th day and still 0 downloads
we definitely need someone to test this giant model.. or may be hf should host it and provide api access for a limited period. just for the community to try it and see what it can give πͺ
Some fun fact: the model which is not using huggingface's API/library (like transformers/diffusers/timm/datasets) will not track the # of download iirc.
that's not entirely true. It's more about what it is that you are downloading rather than how. Here is a list of what would count (must be downloaded) depending on the library
:
{
"adapter-transformers": {
filter: [
{
term: { path: "adapter_config.json" },
},
],
},
"asteroid": {
filter: [
{
term: { path: "pytorch_model.bin" },
},
],
},
"flair": {
filter: [
{
term: { path: "pytorch_model.bin" },
},
],
},
"keras": {
filter: [
{
term: { path: "saved_model.pb" },
},
],
},
"ml-agents": {
filter: [
{
wildcard: { path: "*.onnx" },
},
],
},
"nemo": {
filter: [
{
wildcard: { path: "*.nemo" },
},
],
},
"open_clip": {
filter: [
{
wildcard: { path: "*pytorch_model.bin" },
},
],
},
"sample-factory": {
filter: [
{
term: { path: "cfg.json" },
},
],
},
"paddlenlp": {
filter: [
{
term: { path: "model_config.json" },
},
],
},
"speechbrain": {
filter: [
{
term: { path: "hyperparams.yaml" },
},
],
},
"sklearn": {
filter: [
{
term: { path: "sklearn_model.joblib" },
},
],
},
"spacy": {
filter: [
{
wildcard: { path: "*.whl" },
},
],
},
"stanza": {
filter: [
{
term: { path: "models/default.zip" },
},
],
},
"stable-baselines3": {
filter: [
{
wildcard: { path: "*.zip" },
},
],
},
"timm": {
filter: [
{
terms: { path: ["pytorch_model.bin", "model.safetensors"] },
},
],
},
"diffusers": {
/// Filter out nested safetensors and pickle weights to avoid double counting downloads from the diffusers lib
must_not: [
{
wildcard: { path: "*/*.safetensors" },
},
{
wildcard: { path: "*/*.bin" },
},
],
/// Include documents that match at least one of the following rules
should: [
/// Downloaded from diffusers lib
{
term: { path: "model_index.json" },
},
/// Direct downloads (LoRa, Auto1111 and others)
{
wildcard: { path: "*.safetensors" },
},
{
wildcard: { path: "*.ckpt" },
},
{
wildcard: { path: "*.bin" },
},
],
minimum_should_match: 1,
},
"peft": {
filter: [
{
term: { path: "adapter_config.json" },
},
],
}
}
That said, this model's card is just a repository that contains some checkpoints. I am not sure what should be counted as a download. Once there is a way to do from_pretrained()
then it should be counted as a download.
So the counter is inaccurate. I don't have the hardware for this anyway.
cc @osanseviero - we recently added download metrics for Grok as seen here: https://github.com/huggingface/huggingface.js/pull/561.
Yes, we just did the deployment and the stats should look there tomorrow or wednesday
Thank you both @nielsr and @osanseviero (I wish we could get some love for GGUF models as well π)
Yes, we're working in automatically adding download counts for all GGUF in the coming weeks!
BTW we would need to update this doc page: https://huggingface.co/docs/hub/en/models-download-stats to link to the actual up-to-date definition of per-library download stats rules, which is defined here:
https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/src/model-libraries.ts
The download metrics are there now btw, 31k downloads so far