Fix document (use medium by default)

docs/en/finetune.md

@@ -154,7 +154,7 @@ huggingface-cli download fishaudio/fish-speech-1 text2semantic-sft-medium-v1-4k.
 Finally, you can start the fine-tuning by running the following command:
 ```bash
 python fish_speech/train.py --config-name text2semantic_finetune \
-    model@model.model=dual_ar_2_codebook_large
+    model@model.model=dual_ar_2_codebook_medium
 ```
 
 !!! note
@@ -180,7 +180,7 @@ After training, you need to convert the LoRA weights to regular weights before p
 
 ```bash
 python tools/llama/merge_lora.py \
-    --llama-config dual_ar_2_codebook_large \
+    --llama-config dual_ar_2_codebook_medium \
     --lora-config r_8_alpha_16 \
     --llama-weight checkpoints/text2semantic-sft-medium-v1-4k.pth \
     --lora-weight results/text2semantic-finetune-medium-lora/checkpoints/step_000000200.ckpt \

docs/en/inference.md

@@ -37,7 +37,7 @@ python tools/llama/generate.py \
     --text "The text you want to convert" \
     --prompt-text "Your reference text" \
     --prompt-tokens "fake.npy" \
-    --config-name dual_ar_2_codebook_large \
+    --config-name dual_ar_2_codebook_medium \
     --checkpoint-path "checkpoints/text2semantic-sft-medium-v1-4k.pth" \
     --num-samples 2 \
     --compile
@@ -70,7 +70,7 @@ We provide a HTTP API for inference. You can use the following command to start
 python -m tools.api \
     --listen 0.0.0.0:8000 \
     --llama-checkpoint-path "checkpoints/text2semantic-sft-medium-v1-4k.pth" \
-    --llama-config-name dual_ar_2_codebook_large \
+    --llama-config-name dual_ar_2_codebook_medium \
     --vqgan-checkpoint-path "checkpoints/vq-gan-group-fsq-2x1024.pth"
 ```
 
@@ -83,7 +83,7 @@ You can start the WebUI using the following command:
 ```bash
 python -m tools.webui \
     --llama-checkpoint-path "checkpoints/text2semantic-sft-medium-v1-4k.pth" \
-    --llama-config-name dual_ar_2_codebook_large \
+    --llama-config-name dual_ar_2_codebook_medium \
     --vqgan-checkpoint-path "checkpoints/vq-gan-group-fsq-2x1024.pth"
 ```
 

docs/zh/finetune.md

@@ -165,7 +165,7 @@ HF_ENDPOINT=https://hf-mirror.com huggingface-cli download fishaudio/fish-speech
 
 ```bash
 python fish_speech/train.py --config-name text2semantic_finetune \
-    model@model.model=dual_ar_2_codebook_large
+    model@model.model=dual_ar_2_codebook_medium
 ```
 
 !!! note
@@ -190,7 +190,7 @@ python fish_speech/train.py --config-name text2semantic_finetune \
 
 ```bash
 python tools/llama/merge_lora.py \
-    --llama-config dual_ar_2_codebook_large \
+    --llama-config dual_ar_2_codebook_medium \
     --lora-config r_8_alpha_16 \
     --llama-weight checkpoints/text2semantic-sft-medium-v1-4k.pth \
     --lora-weight results/text2semantic-finetune-medium-lora/checkpoints/step_000000200.ckpt \

docs/zh/inference.md

@@ -42,7 +42,7 @@ python tools/llama/generate.py \
     --text "要转换的文本" \
     --prompt-text "你的参考文本" \
     --prompt-tokens "fake.npy" \
-    --config-name dual_ar_2_codebook_large \
+    --config-name dual_ar_2_codebook_medium \
     --checkpoint-path "checkpoints/text2semantic-sft-medium-v1-4k.pth" \
     --num-samples 2 \
     --compile
@@ -75,7 +75,7 @@ python tools/vqgan/inference.py \
 python -m tools.api \
     --listen 0.0.0.0:8000 \
     --llama-checkpoint-path "checkpoints/text2semantic-sft-medium-v1-4k.pth" \
-    --llama-config-name dual_ar_2_codebook_large \
+    --llama-config-name dual_ar_2_codebook_medium \
     --vqgan-checkpoint-path "checkpoints/vq-gan-group-fsq-2x1024.pth"
 
 # 推荐中国大陆用户运行以下命令来启动 HTTP 服务:
@@ -91,7 +91,7 @@ HF_ENDPOINT=https://hf-mirror.com python -m ...
 ```bash
 python -m tools.webui \
     --llama-checkpoint-path "checkpoints/text2semantic-sft-medium-v1-4k.pth" \
-    --llama-config-name dual_ar_2_codebook_large \
+    --llama-config-name dual_ar_2_codebook_medium \
     --vqgan-checkpoint-path "checkpoints/vq-gan-group-fsq-2x1024.pth"
 ```
 

tools/api.py

@@ -227,7 +227,7 @@ def parse_args():
         default="checkpoints/text2semantic-sft-medium-v1-4k.pth",
     )
     parser.add_argument(
-        "--llama-config-name", type=str, default="dual_ar_2_codebook_large"
+        "--llama-config-name", type=str, default="dual_ar_2_codebook_medium"
     )
     parser.add_argument(
         "--vqgan-checkpoint-path",

tools/llama/merge_lora.py

@@ -12,7 +12,7 @@ from fish_speech.models.text2semantic.lora_utils import (
 
 
 @click.command()
-@click.option("--llama-config", type=str, default="dual_ar_2_codebook_large")
+@click.option("--llama-config", type=str, default="dual_ar_2_codebook_medium")
 @click.option("--lora-config", type=str, default="r_8_alpha_16")
 @click.option(
     "--llama-weight", type=str, default="checkpoints/text2semantic-sft-medium-v1-4k.pth"

tools/webui.py

@@ -324,7 +324,7 @@ def parse_args():
         default="checkpoints/text2semantic-sft-medium-v1-4k.pth",
     )
     parser.add_argument(
-        "--llama-config-name", type=str, default="dual_ar_2_codebook_large"
+        "--llama-config-name", type=str, default="dual_ar_2_codebook_medium"
     )
     parser.add_argument(
         "--vqgan-checkpoint-path",