update install doc and fix local_chat bug

doc/SUMMARY.md

@@ -11,7 +11,6 @@
 - [Multi-GPU Tutorial](en/multi-gpu-tutorial.md)
 - [Use FP8 GPU Kernel](en/fp8_kernel.md)
 - [Use AMD GPU](en/ROCm.md)
-- [Use Multi-concurrency](en/balance-serve.md)
 # Server
   - [Server](en/api/server/server.md)
   - [Website](en/api/server/website.md)
@@ -24,28 +23,4 @@
 # V3 Reproduction
 - [Success List](en/V3-success.md)
 # Benchmark
-- [Benchmark](# Ktransformer
-
-[Introduction](./README.md)
-# Install
-- [Installation Guide](en/install.md)
-
-# Tutorial 
-- [Deepseek-R1/V3 Show Case/Tutorial](en/DeepseekR1_V3_tutorial.md)
-- [Why KTransformers So Fast](en/deepseek-v2-injection.md)
-- [Injection Tutorial](en/injection_tutorial.md)
-- [Multi-GPU Tutorial](en/multi-gpu-tutorial.md)
-- [Use FP8 GPU Kernel](en/fp8_kernel.md)
-# Server
-  - [Server](en/api/server/server.md)
-  - [Website](en/api/server/website.md)
-  - [Tabby](en/api/server/tabby.md)
-# For Developer
-- [Makefile Usage](en/makefile_usage.md)
-
-# FAQ
-- [FAQ](en/FAQ.md)
-# V3 Reproduction
-- [Success List](en/V3-success.md)
-# Benchmark
-- [Benchmark](
+- [Benchmark](en/benchmark.md)

doc/en/balance-serve.md

@@ -41,6 +41,16 @@ Implemented **balance_serve** engine based on **FlashInfer** @qiyuxinlin @ovowei
 Implemented a **continuous batching** scheduler in C++ @ErvinXie
 release: bump version v0.2.4 by @Atream @Azure-Tang @ErvinXie  @qiyuxinlin @ovowei @KMSorSMS @SkqLiao
 
+## Download the Docker image for testing v0.2.4
+Visit the [link](https://hub.docker.com/r/approachingai/ktransformers/tags) to pull the image, using `v0.2.4-AVX512` as an example.
+
+```bash
+docker pull approachingai/ktransformers:v0.2.4-AVX512
+docker run -it --gpus all --privileged --shm-size 64g --name ktrans --network=host -v /mnt:/mnt approachingai/ktransformers:v0.2.4-AVX512 /bin/bash
+# Open a new terminal
+docker exec -it ktrans bash
+```
+
 ## Installation Guide
 
 ⚠️ Please note that installing this project will replace flashinfer in your environment. It is strongly recommended to create a new conda environment!!!
@@ -49,7 +59,7 @@ release: bump version v0.2.4 by @Atream @Azure-Tang @ErvinXie  @qiyuxinlin @ovow
 
 ⚠️ Please note that installing this project will replace flashinfer in your environment. It is strongly recommended to create a new conda environment!!!
 
-### 1. Set Up Conda Environment
+### 2. Set Up Conda Environment
 
 We recommend using Miniconda3/Anaconda3 for environment management:
 

ktransformers/operators/attention.py

@@ -422,6 +422,7 @@ class KDeepseekV2Attention(BaseInjectedModule, DeepseekV2Attention):
                 if q_len == 1:
                     self.mla_wrapper.plan(None,None,None,
                                         position_ids.squeeze(1)+1,
+                                        None,
                                         self.num_heads,
                                         self.kv_lora_rank,
                                         self.qk_rope_head_dim,

ktransformers/util/utils.py

@@ -254,7 +254,7 @@ def prefill_and_generate(model, tokenizer, inputs, max_new_tokens=10000, use_cud
         start_time = time.time()
         for i in range(1, max_new_tokens):
             if use_flashinfer_mla:
-                MLAWrapperSingleton.plan_all(None,None,None,position_ids.squeeze(1)+1,
+                MLAWrapperSingleton.plan_all(None,None,None,position_ids.squeeze(1)+1,None,
                                              num_heads, head_dim_ckv, head_dim_kpe, past_key_values.page_size,
                                              model.model.layers[0].self_attn.softmax_scale, torch.bfloat16, torch.bfloat16)
             global warm_uped