Hugging Face's logo

LiquidAI
/
LFM2.5-ColBERT-350M

Sentence Similarity
Safetensors
sentence-transformers
PyLate
lfm2
liquid
lfm2.5
edge
ColBERT
multi-vector
feature-extraction
custom_code
Model card Files
xet
 Community
3
EdoardoMosca commited on
Commit
b77982d
·
verified ·
1 Parent(s): a54a3d7

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +1 -1
README.md CHANGED
@@ -62,7 +62,7 @@ Find more details about the bidirectional architecture and training recipe in ou
62
  | --------------------- | -------------------------------------- | ----------------------------------- |
63
  | **Type** | Late interaction (per-token vectors) | Dense bi-encoder (single vector) |
64
  | **Total parameters** | ~353M | ~354M |
65
- | **Layers** | 17 (10 conv + 6 attn + 1 dense) | 16 (10 conv + 6 attn + 1 pool) |
66
  | **Context length** | 32,768 tokens | 32,768 tokens |
67
  | **Vocabulary size** | 64,402 | 64,402 |
68
  | **Output** | 128-dim per token | 1024-dim CLS vector |
 
62
  | --------------------- | -------------------------------------- | ----------------------------------- |
63
  | **Type** | Late interaction (per-token vectors) | Dense bi-encoder (single vector) |
64
  | **Total parameters** | ~353M | ~354M |
65
+ | **Layers** | 17 (10 conv + 6 attn + 1 dense) | 17 (10 conv + 6 attn + 1 pool) |
66
  | **Context length** | 32,768 tokens | 32,768 tokens |
67
  | **Vocabulary size** | 64,402 | 64,402 |
68
  | **Output** | 128-dim per token | 1024-dim CLS vector |