Underdog compresses Qwen 3.8-27B to 7.89GB, and its self-tested tool calling performance outperforms the original model.
2026.10.08 15:02:34
Beating AI Express (Dongcha) News: a16z-backed local AI assistant Underdog has launched Saluki 27B, a model built on Alibaba's Qwen3.8-27B. The model uses approximately 2-bit quantization, cutting its size from ~54GB (full-precision version) to 7.89GB. According to officials, it can run on laptops with 16GB of RAM and supports deployment via existing tools like llama.cpp. The model weights are open-sourced under the Apache 2.0 license. Saluki leverages quantization work from ISTA-DASLab (Austrian Institute of Science and Technology). The lab previously compressed Qwen3.8-27B to ~8.4GB; Underdog further reduced the model size while focusing on optimizing tool call performance. In 120 tool call tasks selected from BFCL, Saluki answered 88 correctly, the ISTA-quantized version got 76 right, and the 54GB original version scored 84. In 50 real GitHub issue-fixing tasks, Saluki resolved 30, while the original version fixed 33. Officials noted that Saluki retains an average of 96% of the original model's performance across 9 benchmarks, though performance varies significantly across different tasks. Its scores on math competitions and complex reasoning tasks only reach ~83% and 85% of the original, respectively.
Blackstone: Anthropic may not immediately secure an investment-grade rating after its listing, and its financing sources could be constrained.
2 hours ago
US stock losses widened, with the Nasdaq Composite down 3% and the Philadelphia Semiconductor Index falling more than 8%.
2 hours ago
Tether releases Q3 financial report: net operating profit reaches $1.5 billion, and excess reserves nearly double to $7.95 billion
2 hours ago
Fed's Musalem: The Federal Reserve will need to raise interest rates again "soon"
2 hours ago
Fed's Daly: AI has a significant impact on medium and short-term monetary policy formulation
2 hours ago
CZ: When assessing the impact of a theft, one should not only look at the dollar amount; the key is whether the platform can fully cover the losses.
2 hours ago
Hot feeds
A trader profits $448K by monitoring #Binance's new listings!
2024.12.13 17:37:29
Last week, funds have flowed into #Bitcoin, #Ethereum, and #Hyperliquid.
2024.12.16 14:48:36
A $PEPE whale that had been dormant for 600 days transferred all 2.1T $PEPE($52M) to a new address.
2024.12.14 10:35:27
When Elon Musk tweeted about Moltbook, the meme coin MOLT experienced a short-term 30% price surge, hitting a new all-time high of $114 million.
2026.01.31 18:37:29
A smart #AI coin trader made $17.6M on $GOAT, $ai16z, $Fartcoin,$arc.
2025.01.05 16:05:18
A sniper earned 2,277 $ETH ($8.3M) trading $SHIRO within 18 hours!
2024.12.03 23:09:08
MoreHot Articles

How did I turn $1,000 into $30,000 with smart money?
2024.12.09

10 promising AI Agent cryptos
2024.12.05

The 30-Year-Old Entrepreneur Behind Virtual, a Multi-Million Dollar AI Agent Society
2025.01.22

10 smart traders specializing in MEMEcoin trading on Solana
2024.12.09

A trader lost $73.9K trading memecoins in just 3 minutes — a lesson for us all!
2024.12.13

What is $SPORE? Let us take you through the on-chain records to show you how it works.
2024.12.25

