Pimmetjeoss/tribe-crm-qwen-2b-gguf
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Tribe CRM Agent — Qwen3.5-2B GGUF
GGUF quantized version of `Pimmetjeoss/tribe-crm-qwen-2b-merged` for use with llama.cpp, Ollama, LM Studio, and other GGUF-compatible inference engines.
Files
Performance
Measured on the bf16 merged model (GGUF quantization is near-lossless for Q4KM):
Ollama usage
# Download the GGUF
huggingface-cli download Pimmetjeoss/tribe-crm-qwen-2b-gguf qwen-tribe-crm-q4_k_m.gguf --local-dir ./
# Create a Modelfile
cat > Modelfile <<EOF
FROM ./qwen-tribe-crm-q4_k_m.gguf
TEMPLATE """{{ if .System }}<|im_start|>system
{{ .System }}<|im_end|>
{{ end }}{{ if .Prompt }}<|im_start|>user
{{ .Prompt }}<|im_end|>
<|im_start|>assistant
{{ end }}{{ .Response }}<|im_end|>
"""
PARAMETER temperature 0
EOF
ollama create tribe-crm-qwen -f Modelfile
ollama run tribe-crm-qwen "Zoek Bakkerij De Wit op"llama.cpp usage
./llama-cli -m qwen-tribe-crm-q4_k_m.gguf \
--chat-template chatml \
-p "Zoek Bakkerij De Wit op"Expected output format
Qwen native XML-style tool calls:
<tool_call>
<function=zoek_contact>
<parameter=naam>
Bakkerij De Wit
</parameter>
</function>
</tool_call>A Python parser for this format is in agent/parser.py.
Related
- Merged safetensors (full precision): Pimmetjeoss/tribe-crm-qwen-2b-merged
- LoRA adapter only: Pimmetjeoss/tribe-crm-qwen-2b
- Training pipeline: GitHub
- Base model: unsloth/Qwen3.5-2B
