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Kadabra/qwen3_5_2b_cpt_and_sft_very_small_gguf_Q4_K_M overview

qwen3 5 2b cpt and sft very small gguf Q4 K M : GGUF This model was finetuned and converted to GGUF format using Unsloth https://github.com/unslothai/unsloth .…

ggufqwen3_5llama.cppunslothvision-language-modelendpoints_compatibleregion:usconversational

Runs locally from ~640.3 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Repository Files & Downloads

2 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
qwen3_5_2b_cpt_very_small.BF16-mmproj.ggufGGUFGGUF640.3 MBDownload
qwen3_5_2b_cpt_very_small.Q4_K_M.ggufGGUFGGUF1.22 GBDownload

Model Details

Model IDKadabra/qwen3_5_2b_cpt_and_sft_very_small_gguf_Q4_K_M
AuthorKadabra
Pipeline
License
Base model
Last modified2026-07-26T15:02:58.000Z

Model README

---

tags:

  • gguf
  • llama.cpp
  • unsloth
  • vision-language-model

---

qwen3_5_2b_cpt_and_sft_very_small_gguf_Q4_K_M : GGUF

This model was finetuned and converted to GGUF format using Unsloth.

Example usage:

  • For text only LLMs: llama-cli -hf Kadabra/qwen3_5_2b_cpt_and_sft_very_small_gguf_Q4_K_M --jinja
  • For multimodal models: llama-mtmd-cli -hf Kadabra/qwen3_5_2b_cpt_and_sft_very_small_gguf_Q4_K_M --jinja

Available Model files:

  • qwen3_5_2b_cpt_very_small.Q4_K_M.gguf
  • qwen3_5_2b_cpt_very_small.BF16-mmproj.gguf

This was trained 2x faster with Unsloth

<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>

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