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Model: thuniverse-ai/SiliconMind-V1-Qwen3-8B-GGUF
Source: Original Platform

README.md

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+---
+license: apache-2.0
+license_link: https://huggingface.co/AS-SiliconMind/SiliconMind-V1-Qwen3-8B/blob/main/LICENSE
+language:
+- en
+base_model:
+- AS-SiliconMind/SiliconMind-V1-Qwen3-8B
+pipeline_tag: text-generation
+tags:
+- verilog
+- reasoning
+- multi-agent
+- gguf
+- quantized
+- llama.cpp
+- ollama
+---
+
+# SiliconMind-V1-Qwen3-8B GGUF
+
+GGUF quantizations of [AS-SiliconMind/SiliconMind-V1-Qwen3-8B](https://huggingface.co/AS-SiliconMind/SiliconMind-V1-Qwen3-8B), a 8B model specialized for Verilog code generation, testing, and debugging.
+
+Quantized with [llama.cpp](https://github.com/ggml-org/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
+
+```bash
+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.
+```