add missing MTP layers

README.md

@@ -32,8 +32,8 @@ Introducing **GLM-4.5-Air-REAP-82B-A12B**, a **memory-efficient compressed varia
 
 This model was created using **REAP (Router-weighted Expert Activation Pruning)**, a novel expert pruning method that selectively removes redundant experts while preserving the router's independent control over remaining experts. Key features include:
 
-- **Near-Lossless Performance**: Maintains almost identical accuracy on code generation, agentic coding, and function calling tasks compared to the full 480B model
-- **25% Memory Reduction**: Compressed from 480B to 363B parameters, significantly lowering deployment costs and memory requirements
+- **Near-Lossless Performance**: Maintains almost identical accuracy on code generation, agentic coding, and function calling tasks compared to the full 106B model
+- **25% Memory Reduction**: Compressed from 106B to 82B parameters, significantly lowering deployment costs and memory requirements
 - **Preserved Capabilities**: Retains all core functionalities including code generation, agentic workflows, repository-scale understanding, and function calling
 - **Drop-in Compatibility**: Works with vanilla vLLM - no source modifications or custom patches required
 - **Optimized for Real-World Use**: Particularly effective for resource-constrained environments, local deployments, and academic research
@@ -166,7 +166,7 @@ You can deploy the model directly using the **latest vLLM** (v0.11.0), no source
 
 ```bash
 vllm serve cerebras/GLM-4.5-Air-REAP-82B-A12B \
-    --tensor-parallel-size 8 \
+    --tensor-parallel-size 4 \
     --tool-call-parser glm45 \
     --enable-auto-tool-choice \
     --enable-expert-parallel

config.json

@@ -40,4 +40,4 @@
   "use_cache": true,
   "use_qk_norm": false,
   "vocab_size": 151552
-}
+}

model-00033-of-00033.safetensors

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