📚 docs: add new model integration guide

Summarizes lessons learned from GLM-4 integration:
- Config field mapping (multi_query_group_num, kv_channels, etc.)
- RoPE variants (interleaved vs half, partial vs full rotation)
- EOS token handling for multi-EOS models
- Weight name conversion patterns
- Verification checklist

Also updates CLAUDE.md to reflect GLM-4 support.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

CLAUDE.md

@@ -4,7 +4,7 @@ This file provides guidance to Claude Code when working with this repository.
 
 ## Overview
 
-Nano-vLLM is a lightweight vLLM implementation (~1,200 lines) for fast offline LLM inference. Supports Qwen3 models with CPU offload for long-context inference.
+Nano-vLLM is a lightweight vLLM implementation (~1,200 lines) for fast offline LLM inference. Supports Qwen3, Llama-3, and GLM-4 models with CPU offload for long-context inference.
 
 ## Documentation Index
 
@@ -35,6 +35,7 @@ Nano-vLLM is a lightweight vLLM implementation (~1,200 lines) for fast offline L
 | [`docs/memory_communication_benchmark.md`](docs/memory_communication_benchmark.md) | 📊 通信量测试: Full vs XAttention 通信量对比 (32K/64K)、阶段分离统计 |
 | [`docs/estimate_block_size_performance.md`](docs/estimate_block_size_performance.md) | 🔥 PERF: estimate 阶段 block_size 性能分析，softmax_fuse_block_sum 最优点 (512-1024)，当前 4096 慢 15x |
 | [`docs/long_context_models_1m.md`](docs/long_context_models_1m.md) | 📚 REF: 1M+ 上下文长度模型列表 (Qwen/GLM/InternLM/Llama/VL)，≤10B 推荐模型 |
+| [`docs/new_model_integration_guide.md`](docs/new_model_integration_guide.md) | 🔧 GUIDE: 新模型整合指南 - 配置映射、RoPE变体、EOS处理、权重转换、验证清单 |
 
 ## Rules Index