Sponsored by
Vmake Labs Video Enhancer
-Vmake Labs Video Enhancer uses AI to improve video quality, restore details, reduce blur, and upscale videos to 8K.
Youtu-LLM-2B
is a highly efficient 1.96B parameter model featuring a Dense MLA architecture and a native
128K context window
. Despite its small size, it supports
Agentic capabilities
and "Reasoning Mode" (Chain of Thought), outperforming many larger models in STEM, coding, and agentic benchmarks.
Evaluation Results
Files & Quantization
To see the available files, please verify the
Files and versions
tab.
How to Run (llama.cpp)
Note:
This model uses the
Dense MLA
architecture. Please ensure you are using the latest version of
llama.cpp
to support this architecture correctly.
Recommended Parameters:
This model supports two modes. Adjust your temperature accordingly:
Reasoning Mode (CoT):
Temperature
1.0
(Recommended for complex logic/math).
Normal Mode:
Temperature
0.7
(Recommended for chat/stability).
Context:
-c
(Supports up to 131072).
CLI Example
./llama-cli -m Youtu-LLM-2B.Q4_K_M.gguf \
-c 8192 \
--temp 1.0 \
--top-p 0.95 \
-p "User: Explain the theory of relativity.\nAssistant:" \
-cnv
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