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Model: sasa2000/Marco-Nano-Instruct-REAP-6B-A0.6B
Source: Original Platform

README.md

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+---
+license: apache-2.0
+base_model: ATH-MaaS/Marco-Nano-Instruct
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- reap
+- pruning
+- qwen3_moe
+- moe
+- safetensors
+---
+
+# Marco-Nano-Instruct REAP Pruned 0.25
+
+This is a pruned derivative of `ATH-MaaS/Marco-Nano-Instruct`, produced with
+`CerebrasResearch/reap` layerwise REAP pruning in a Codex-assisted experiment
+(GPT5.5 xhigh based).
+
+## Details
+
+- Pruning method: REAP layerwise pruning
+- Requested compression ratio: `0.25`
+- Experts retained: `174`
+- Experts per token: `8`
+- Calibration dataset: `theblackcat102/evol-codealpaca-v1`
+- `model_max_length`: `2048`
+- `batches_per_category`: `128`
+- `batch_size`: `1`
+- `batch_group_size`: `8`
+- Format: safetensors
+
+## Notes
+
+This checkpoint was created for a low-resource pruning experiment on a 6GB VRAM
+environment. Benchmark evaluation was not run. A short prompt smoke check showed
+usable English output, but Japanese and Chinese outputs may still show
+repetition, self-continuation, or wording artifacts.