Open-weight model
Claude-Haiku-5.5-Qwen-5B-Thinking-GGUF
by Mondk mondk/Claude-Haiku-5.5-Qwen-5B-Thinking-GGUF
Claude-Haiku-5.5-Qwen-5B-Thinking-GGUF is an open-weight model from Mondk, released under Apache License 2.0. Its published files total 2.9 GB.
This model was converted to GGUF format from mondk/Qwen3-VL-4B-Thinking-Msh-Claude-Safetensors using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.
Model Card
By Mondk, published under apache-2.0, revision 80e345d8b475.
This model was converted to GGUF format from mondk/Qwen3-VL-4B-Thinking-Msh-Claude-Safetensors using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model. Install llama.cpp through brew (works on Mac and Linux) Invoke the llama.cpp server or the CLI. Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well. Step 2: Move into the llama.cpp folder and build it with LLAMACURL=1 flag along with other hardware-specific flags (for ex: LLAMACUDA=1 for Nvidia GPUs on Linux).
Read Mondk's full model card
mondk/Qwen3-VL-4B-Thinking-Msh-Claude-Safetensors-Q5_K_M-GGUF
This model was converted to GGUF format from mondk/Qwen3-VL-4B-Thinking-Msh-Claude-Safetensors using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)
brew install llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
llama-cli --hf-repo mondk/Qwen3-VL-4B-Thinking-Msh-Claude-Safetensors-Q5_K_M-GGUF --hf-file qwen3-vl-4b-thinking-msh-claude-safetensors-q5_k_m.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo mondk/Qwen3-VL-4B-Thinking-Msh-Claude-Safetensors-Q5_K_M-GGUF --hf-file qwen3-vl-4b-thinking-msh-claude-safetensors-q5_k_m.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
Step 1: Clone llama.cpp from GitHub.
git clone https://github.com/ggerganov/llama.cpp
Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
cd llama.cpp && LLAMA_CURL=1 make
Step 3: Run inference through the main binary.
./llama-cli --hf-repo mondk/Qwen3-VL-4B-Thinking-Msh-Claude-Safetensors-Q5_K_M-GGUF --hf-file qwen3-vl-4b-thinking-msh-claude-safetensors-q5_k_m.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo mondk/Qwen3-VL-4B-Thinking-Msh-Claude-Safetensors-Q5_K_M-GGUF --hf-file qwen3-vl-4b-thinking-msh-claude-safetensors-q5_k_m.gguf -c 2048
Identity and Version
- Repository
- mondk/Claude-Haiku-5.5-Qwen-5B-Thinking-GGUF
- Publisher
- Mondk
- Task
- Not stated by the source
- Modality
- Other
- Library
- transformers
- Parameters
- Not stated by the source
- Languages
- sft, msh
- Revision
- 80e345d8b475513b306a1e93884bf320ccf8f434
- First published
- 2026-10-18
- Last updated
- 2026-10-18
Files and Weights
3 files, 2.9 GB in total. The weights are 1 file totalling 2.9 GB in gguf.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| qwen3-vl-4b-thinking-msh-claude-safetensors-q5_k_m.gguf | Weights | 2.9 GB | 0c2562c6ab83 |
| README.md | Documentation | 2.1 KB | — |
| .gitattributes | Repository | 1.6 KB | — |
License and Download
- License
- apache-2.0
- Access
- Open weights, no gate
- Download size
- 2.9 GB
Released by Mondk through its official repository on Hugging Face. Read the license.
Built From
- Derived from mondk/Qwen3-VL-4B-Thinking-Msh-Claude-Safetensors
- Quantized from mondk/Qwen3-VL-4B-Thinking-Msh-Claude-Safetensors
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 2.9 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About Claude-Haiku-5.5-Qwen-5B-Thinking-GGUF
Can I use Claude-Haiku-5.5-Qwen-5B-Thinking-GGUF commercially?
Yes. Claude-Haiku-5.5-Qwen-5B-Thinking-GGUF is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.