feat(*):增加了一些模型

ktransformers/.env

@@ -0,0 +1,3 @@
+TRANSFORMERS_OFFLINE=0
+HF_HUB_OFFLINE=0
+TORCH_CUDA_ARCH_LIST=8.9

ktransformers/compose.yaml

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+version: "3.8"
+services:
+  ktransformers:
+    image: docker.citory.tech/public/ktransformers:0.2.2rc1
+    container_name: ktransformers
+    runtime: nvidia
+    tty: true
+    stdin_open: true
+    ports:
+      - 10580:10580
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: 2
+              capabilities:
+                - gpu
+    ipc: host
+    volumes:
+      - /home/deepgeek/data/data_local/server/ktransformers/models:/workspace/models
+      - /home/deepgeek/data/data_local/server/ktransformers/ktransformers/website:/workspace/ktransformers/ktransformers/website
+    env_file:
+      - .env
+    restart: unless-stopped
+    entrypoint: [
+      "python3", "/workspace/ktransformers/ktransformers/server/main.py",
+      "--gguf_path", "/workspace/models/DeepSeek-R1-GGUF/DeepSeek-R1-UD-Q2_K_XL",
+      "--model_path", "/workspace/models/DeepSeek-R1",
+      "--model_name", "deepseek-r1:671b",
+      "--cpu_infer", "94",
+      "--optimize_config_path", "/workspace/ktransformers/ktransformers/optimize/optimize_rules/DeepSeek-V3-Chat-multi-gpu.yaml",
+      "--max_new_tokens", "8192",
+      "--cache_lens", "32768",
+      "--total_context", "32768",
+      "--cache_q4", "true",
+      "--temperature", "0.6",
+      "--top_p", "0.95",
+      "--force_think",
+      "--no-use_cuda_graph",
+      "--host", "0.0.0.0",
+      "--port", "10580"
+    ]
+x-dockge:
+  urls:
+    - http://local.citory.tech:10580
+networks: {}