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QyrouNnet
/
summarizer
43
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Updated
1 week ago
QN-Summarizer-1 is a 400M parameter model specialized for summarization, outperforming ~20B models on benchmarks. Delivers ~1.5s CPU and millisecond GPU inference. Accepts up to 7,000 words for fast, high-quality document summarization.
QN-Summarizer-1 is a 400M parameter model specialized for summarization, outperforming ~20B models on benchmarks. Delivers ~1.5s CPU and millisecond GPU inference. Accepts up to 7,000 words for fast, high-quality document summarization.
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400m
Name
5 models
Size / Usage
Context
Input
summarizer:400m
a3950158fe77
• 367MB • 8K context window •
Text input • 1 week ago
Text input • 1 week ago
summarizer:400m
367MB
8K
Text
a3950158fe77
· 1 week ago
summarizer:400m-q4_k_m
508988efc84f
• 271MB • 8K context window •
Text input • 1 week ago
Text input • 1 week ago
summarizer:400m-q4_k_m
271MB
8K
Text
508988efc84f
· 1 week ago
summarizer:400m-q5_k_m
a0c8e68fd7f8
• 290MB • 8K context window •
Text input • 1 week ago
Text input • 1 week ago
summarizer:400m-q5_k_m
290MB
8K
Text
a0c8e68fd7f8
· 1 week ago
summarizer:400m-q6_k
a3950158fe77
• 367MB • 8K context window •
Text input • 1 week ago
Text input • 1 week ago
summarizer:400m-q6_k
367MB
8K
Text
a3950158fe77
· 1 week ago
summarizer:400m-q8_0
f19eadec5704
• 386MB • 8K context window •
Text input • 1 week ago
Text input • 1 week ago
summarizer:400m-q8_0
386MB
8K
Text
f19eadec5704
· 1 week ago