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LFM2-ColBERT-350M

Sentence Similarity
Safetensors
sentence-transformers
PyLate
lfm2
liquid
edge
ColBERT
multi-vector
feature-extraction
Eval Results (legacy)
Model card Files
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@@ -851,7 +851,7 @@ We recommend using this model for various RAG use cases, such as:
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  | Property | [**LFM2-ColBERT-350M**](https://huggingface.co/LiquidAI/LFM2-ColBERT-350M/) |
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  | --------------------- | ------------------------------ |
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  | **Total parameters** | 353,322,752 |
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- | **Layers** | 25 (18 conv + 6 attn + 1 dense)|
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  | **Context length** | 32,768 tokens |
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  | **Vocabulary size** | 65,536 |
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  | **Training precision**| BF16 |
 
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  | Property | [**LFM2-ColBERT-350M**](https://huggingface.co/LiquidAI/LFM2-ColBERT-350M/) |
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  | --------------------- | ------------------------------ |
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  | **Total parameters** | 353,322,752 |
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+ | **Layers** | 17 (10 conv + 6 attn + 1 dense)|
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  | **Context length** | 32,768 tokens |
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  | **Vocabulary size** | 65,536 |
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  | **Training precision**| BF16 |