IQuest-Coder-V1
is a state-of-the-art coding model built on a "code-flow" training paradigm. It captures the dynamic evolution of software logic, delivering exceptional performance on benchmarks like SWE-Bench Verified (81.4%) and BigCodeBench. This model natively supports a
128K context window
.
Evaluation Results
Files & Quantization
To see the available files, please verify the
Files and versions
tab.
How to Run (llama.cpp)
Recommended Parameters:
For coding tasks, a lower temperature is generally recommended for precision.
Temperature:
0.2
(for code generation) or
0.7
(for creative explanations)
Context:
-c
(Adjust based on your VRAM/RAM. The model supports up to 128k).
CLI Example
./llama-cli -m IQuest-Coder-V1-40B-Instruct.Q4_K_M.gguf \
-c 8192 \
--temp 0.2 \
-p "User: Write a Python function to calculate the Fibonacci sequence using dynamic programming.\nAssistant:" \
-cnv
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