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Model: hudsongouge/minicpm5-1B-GLM-5.2-Agentic-v7
Source: Original Platform

README.md

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+---
+license: other
+language:
+- en
+base_model:
+- openbmb/MiniCPM5-1B
+tags:
+- agentic
+- coding
+- agent
+- gguf
+---
+
+# MiniCPM5-1B-Agentic-v7
+
+Created by GLM-5.2. Model 7 of 8 in the agentic post-training series.
+
+**Variant**: 3-way Soup
+
+## Evaluation
+
+| Metric | Score |
+|---|---|
+| Real-World Tasks | 28.7% (3.44/12) |
+| Unique Tasks Solved | 8/12 |
+
+GGUFs available: f16, q8_0, q5_k_m, q4_k_m, q3_k_m, q2_k
+
+## Quantization Recommendations
+
+This is a 1B model — heavier quantization degrades output quality significantly.
+
+| Quant | Quality | Size | Recommendation |
+|---|---|---|---|
+| f16 | Full | ~2.1GB | Best quality |
+| q8_0 | Excellent | ~1.1GB | **Recommended** — near-identical to f16 |
+| q5_k_m | Good | ~0.8GB | Reasoning OK, response may degrade on longer outputs |
+| q4_k_m | Fair | ~0.7GB | Reasoning OK, response degrades into repetition |
+| q3_k_m | Poor | ~0.6GB | Not recommended |
+| q2_k | Poor | ~0.5GB | Not recommended |
+
+**For production use, prefer q8_0 or f16.** The model uses  reasoning tokens; lower quantizations break the transition from reasoning to response.
+
+## Chat Template
+
+The GGUF chat template defaults to `enable_thinking=true`, so the model will always produce  reasoning followed by  response. If your inference engine supports `enable_thinking=false`, you can skip reasoning for faster responses.