thuniverse-ai/SiliconMind-V1-Qwen3-8B-GGUF

SiliconMind-V1-Qwen3-8B GGUF

GGUF quantizations of AS-SiliconMind/SiliconMind-V1-Qwen3-8B, a 8B model specialized for Verilog code generation, testing, and debugging.

Quantized with llama.cpp b7437, which compatible with Ollama v0.17.4.

Available Quantizations

File	Size	Description
SiliconMind-V1-Qwen3-8B-F16.gguf	25 GB	Full precision (F16)
SiliconMind-V1-Qwen3-8B-Q8_0.gguf	13 GB	8-bit, highest quality
SiliconMind-V1-Qwen3-8B-Q6_K.gguf	10 GB	6-bit
SiliconMind-V1-Qwen3-8B-Q5_K_M.gguf	8.8 GB	5-bit medium
SiliconMind-V1-Qwen3-8B-Q4_K_M.gguf	7.6 GB	4-bit medium (recommended)
SiliconMind-V1-Qwen3-8B-Q3_K_L.gguf	6.7 GB	3-bit large
SiliconMind-V1-Qwen3-8B-Q3_K_M.gguf	6.3 GB	3-bit medium
SiliconMind-V1-Qwen3-8B-Q3_K_S.gguf	5.7 GB	3-bit small
SiliconMind-V1-Qwen3-8B-Q2_K.gguf	5.0 GB	2-bit, smallest

Usage

ollama run hf.co/thuniverse-ai/SiliconMind-V1-Qwen3-8B-GGUF

Example prompt:

I would like you to implement a module named TopModule with the following
interface. All input and output ports are one bit unless otherwise
specified.

- input in (3 bits)
- output out (2 bits)

The module should implement a "population count" circuit that counts the
number of '1's in the input vector.