AaryanK/IQuest-Coder-V1-40B-Instruct-GGUF
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IQuest-Coder-V1-40B-Instruct-GGUF

Description
This repository contains GGUF format model files for IQuestLab's IQuest-Coder-V1-40B-Instruct.
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) or0.7(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:" \
-cnvServer Example
./llama-server -m IQuest-Coder-V1-40B-Instruct.Q4_K_M.gguf \
--port 8080 \
--host 0.0.0.0 \
-c 16384 \
-ngl 99