GraySoft
Projects Models Compare Cloud benchmarks FAQ Download guIDE →
Model Intelligence Sheet

TaimoorSiddiqui/Hopcoder-Mini-9B-SWE-Agent-GGUF overview

Hopcoder Mini 9B SWE Agent GGUF quantized version of the Hopcoder Mini 9B SWE Agent model. Model Details Base model : TaimoorSiddiqui/Hopcoder Mini 9B LoRA ada…

llama.cppggufquantizedtool-callingswe-agentqwen3.5base_model:TaimoorSiddiqui/Hopcoder-Mini-9Bbase_model:quantized:TaimoorSiddiqui/Hopcoder-Mini-9Bendpoints_compatibleregion:usconversational

Runs locally from ~5.24 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
0
Likes
0
Pipeline

Repository Files & Downloads

4 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Hopcoder-Mini-9B-SWE-Agent-F16.ggufGGUFF1616.69 GBDownload
Hopcoder-Mini-9B-SWE-Agent-Q4_K_M.ggufGGUFQ4_K_M5.24 GBDownload
Hopcoder-Mini-9B-SWE-Agent-Q5_K_M.ggufGGUFQ5_K_M6.02 GBDownload
Hopcoder-Mini-9B-SWE-Agent-Q8_0.ggufGGUFQ8_08.87 GBDownload

Model Details

Model IDTaimoorSiddiqui/Hopcoder-Mini-9B-SWE-Agent-GGUF
AuthorTaimoorSiddiqui
Pipeline
License
Base modelTaimoorSiddiqui/Hopcoder-Mini-9B
Last modified2026-07-01T13:54:09.000Z

Model README

---

base_model: TaimoorSiddiqui/Hopcoder-Mini-9B

library_name: llama.cpp

tags:

  • gguf
  • quantized
  • tool-calling
  • swe-agent
  • qwen3.5

---

Hopcoder-Mini-9B-SWE-Agent

GGUF quantized version of the Hopcoder-Mini-9B-SWE-Agent model.

Model Details

  • Base model: TaimoorSiddiqui/Hopcoder-Mini-9B
  • LoRA adapter: TaimoorSiddiqui/Hopcoder-Mini-9B-SWE-Agent-LoRA-H200
  • Architecture: Qwen3.5 (Qwen3_5ForConditionalGeneration)
  • Parameters: 9.4B
  • Format: GGUF

Available Quantizations

| Quantization | File | Size |

|---|---|---|

| Q4_K_M | Hopcoder-Mini-9B-SWE-Agent-Q4_K_M.gguf | 5.63 GB |

| Q5_K_M | Hopcoder-Mini-9B-SWE-Agent-Q5_K_M.gguf | 6.47 GB |

| Q8_0 | Hopcoder-Mini-9B-SWE-Agent-Q8_0.gguf | 9.53 GB |

| F16 | Hopcoder-Mini-9B-SWE-Agent-F16.gguf | 17.92 GB |

Usage

# Download a quantized file
huggingface-cli download TaimoorSiddiqui/Hopcoder-Mini-9B-SWE-Agent-GGUF Hopcoder-Mini-9B-SWE-Agent-Q4_K_M.gguf --local-dir ./

# Run with llama.cpp
llama-server --model Hopcoder-Mini-9B-SWE-Agent-Q4_K_M.gguf --n-gpu-layers 99 --port 8080

Merging Process

  1. Loaded base model in FP16 on CPU
  2. Merged LoRA adapter(s) into base (Stage-2 SWE-Agent (already contains Stage-1))
  3. Converted merged model to GGUF format
  4. Quantized to multiple levels using llama-quantize
  5. Uploaded to HuggingFace

Original Model

The original PEFT/LoRA adapter is available at:

  • Stage-2 (contains Stage-1): TaimoorSiddiqui/Hopcoder-Mini-9B-SWE-Agent-LoRA-H200

Run TaimoorSiddiqui/Hopcoder-Mini-9B-SWE-Agent-GGUF with guIDE

Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.

Download guIDE → · Browse 524k+ models · Compare models

Source: Hugging Face · Compare models