InferForge/Qwen3.5-4B-Q4_K_M

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A Q4KM GGUF quantization of Qwen3.5-4B, prepared by InferForge for efficient local inference with llama.cpp. This build focuses on practical local inference on consumer hardware, with an emphasis on: The original Qwen3.5-4B model was converted to GGUF and quantized locally using llama.cpp. The resulting file is: Qwen3.5-4B-Q4KM.gguf The Q4KM format was selected as a practical balance between: Run the model directly with llama-cli: The model can also be exposed through an OpenAI-compatible API. The OpenAI-compatible API is available at: http://localhost:30000/v1 This build has been tested with: 131072 tokens or approximately: 128K context Large context windows substantially increase memory requirements. On GPUs with limited VRAM, llama.cpp may offload part of the workload to system RAM. Users should benchmark different context sizes on their own hardware to determine the best performance/memory…

InferForge/Qwen3.5-4B-Q4_K_M on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-09-22T07:35:18.354Z

Inside the original model card — Document outline
  1. InferForge — Qwen3.5-4B-Q4KM
  2. Model Information
  3. Quantization
  4. Usage with llama.cpp
  5. Interactive CLI
  6. Docker
  7. Usage with llama-server
  8. Native
  9. Docker
  10. Example API Request
  11. Context Length
  12. Limitations

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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

InferForge/Qwen3.5-4B-Q4_K_M is a task-unspecified model repository published by InferForge on Hugging Face. A library was not reported.

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Recent downloads (30 days)
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Architecture
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License
apache-2.0
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Not gated by Hugging Face
Created
2026-09-22T06:30:10.000Z
Last modified
2026-09-22T06:30:10.000Z

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Source: Hugging Face Hub. Metadata observed 2026-09-22T06:37:17.952Z. Daily imports are snapshots, not real-time monitoring.

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