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LPN64
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Recent Activity
new activity 13 days ago
burner22/numbat:It is FAKE new activity 13 days ago
burner22/numbat:Fake - Reason: 550B active -> too expensive + slow to serve updated a model 29 days ago
LPN64/crestline-convnext-baseOrganizations
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It is FAKE
8
#11 opened 13 days ago
by
mdrbal83
Fake - Reason: 550B active -> too expensive + slow to serve
4
#14 opened 13 days ago
by
shadowlilac
What's the point of this if there is google/gemma-4-31B-it-qat-w4a16-ct ?
#1 opened 3 months ago
by
LPN64
Dataset is contaminated
2
#2 opened 10 months ago
by
LPN64
prefix caching is broken, works with offical 9b unquantized model
1
#6 opened 6 months ago
by
LPN64
Anyone is having issues with tool calling with the 3.6 family ? (not just 35b or 27b)
4
#13 opened 7 months ago
by
LPN64
New SOTA using the kalm dataset
👍 5
3
#3 opened about 1 year ago
by
LPN64
Added tool tokens (from original repository)
1
#2 opened about 1 year ago
by
LPN64
Correct chat template ?
1
#3 opened about 1 year ago
by
LPN64
sentence-transformers compatibility
3
#1 opened about 1 year ago
by
LPN64
Don't treat a string starting by http as an image link if there is a space in it
5
#74 opened about 1 year ago
by
LPN64
Again at the top of the Rag benchmark
👍 2
5
#2 opened about 1 year ago
by
LPN64
How much GPU memory is needed for local deployment?
13
#7 opened about 1 year ago
by
XuehangCang
Very bad performances (not gpu time, score)
20
#3 opened about 1 year ago
by
LPN64
Supprimer le dossier summaries (ca prend 6 ans de tout DL)
1
#3 opened over 1 year ago
by
LPN64
Missing tokenizer config
2
#1 opened over 1 year ago
by
LPN64
Full model context len & default settings (max_position_embeddings)
3
#15 opened over 1 year ago
by
LPN64
In RAG prompt, where to ask it to answer in X language ?
1
#11 opened almost 2 years ago
by
LPN64
This model literally beats all the other models in the needle in the haystack challenge
👍 3
3
#7 opened over 1 year ago
by
LPN64