Instructions to use zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2")
model = AutoModelForCausalLM.from_pretrained("zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2 with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2:F16
# Run inference directly in the terminal:
llama cli -hf zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2:F16
# Run inference directly in the terminal:
llama cli -hf zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2:F16

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2:F16
# Run inference directly in the terminal:
./llama-cli -hf zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2:F16

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2:F16

Use Docker

docker model run hf.co/zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2:F16

LM Studio
Jan

vLLM

How to use zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2:F16

SGLang

How to use zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Ollama
How to use zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2 with Ollama:
```
ollama run hf.co/zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2:F16
```
Unsloth Desktop

How to use zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2 with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2:F16

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2:F16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2 with Docker Model Runner:
```
docker model run hf.co/zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2:F16
```

Lemonade

How to use zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2:F16

Run and chat with the model

lemonade run user.Qwen3-1.7B-Yukari-SFT-v2-F16

List all available models

lemonade list

Hermes Agent

How to use zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2 with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2:F16

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2:F16

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2 with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2:F16

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2:F16" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

zzoceanpie commited on May 5

Commit

9be10af

verified ·

1 Parent(s): 4e2d6ce

Upload folder using huggingface_hub

Browse files

Files changed (9) hide show

.gitattributes +2 -0
Qwen3-1.7B-Yukari-SFT-v2-f16.gguf +3 -0
README.md +66 -0
chat_template.jinja +89 -0
config.json +63 -0
generation_config.json +13 -0
model.safetensors +3 -0
tokenizer.json +3 -0
tokenizer_config.json +29 -0

.gitattributes CHANGED Viewed

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Qwen3-1.7B-Yukari-SFT-v2-f16.gguf filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

Qwen3-1.7B-Yukari-SFT-v2-f16.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:e171b5f020f0273ed27622c70aa32b02ccfa8f4a9fc463be3b4b099887e87765
+size 3447348928

README.md ADDED Viewed

	@@ -0,0 +1,66 @@

+---
+base_model: Qwen/Qwen3-1.7B
+library_name: transformers
+tags:
+  - qlora
+  - roleplay
+  - qwen
+  - sft
+  - touhou
+  - character-roleplay
+  - synthetic-data
+  - generated_from_trainer
+language:
+  - zh
+license: apache-2.0
+---
+# Qwen3-1.7B-Yukari-SFT-v2
+八云紫 (Yukari Yakumo) 角色扮演模型 — SFT 改进版。
+v1 (r=8) 的基础上提高 LoRA rank 至 32，改用 1,233 条纯原文 SFT 数据解决攻击性输出问题。
+## 模型信息
+| 项目 | 值 |
+|------|-----|
+| 基座 | [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B) |
+| 方法 | QLoRA 4-bit NF4 (双重量化), bf16 |
+| LoRA | **r=32, alpha=64**, target: q/k/v/o/gate/up/down proj |
+| 数据 | 1,233 条合成 SFT 对话 (MiMo-V2.5-Pro, 纯原文无情绪变体) |
+| 硬件 | RTX 3060 Laptop 6GB |
+| 训练 | 1 epoch, seed=478 |
+| 格式 | Merged bf16 safetensors + GGUF F16 |
+## 系列模型
+| 模型 | LoRA | 方法 | 版本 |
+|------|------|------|------|
+| [Qwen3-1.7B-Yukari-SFT](https://hf.co/zzoceanpie/Qwen3-1.7B-Yukari-SFT) | r=8, a=8 | SFT | v1 |
+| **Qwen3-1.7B-Yukari-SFT-v2** (本模型) | r=32, a=64 | SFT | v2 |
+| [Qwen3-1.7B-Yukari-DPO](https://hf.co/zzoceanpie/Qwen3-1.7B-Yukari-DPO) | r=32, a=64 | SFT+DPO | v2+DPO |
+## 用法
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+model = AutoModelForCausalLM.from_pretrained(
+    "zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2",
+    torch_dtype="auto", device_map="auto", trust_remote_code=True
+)
+tokenizer = AutoTokenizer.from_pretrained("zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2")
+messages = [{"role": "user", "content": "你觉得人类最有趣的地方是什么？"}]
+text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(text, return_tensors="pt").to(model.device)
+outputs = model.generate(**inputs, max_new_tokens=128, temperature=0.8)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+## 许可
+- 模型权重: Apache 2.0
+- 角色版权: 八云紫 (C) 上海爱丽丝幻乐团/ZUN
+- 训练数据: [yukari-synthetic](https://hf.co/datasets/zzoceanpie/yukari-synthetic) (Apache 2.0)

chat_template.jinja ADDED Viewed

	@@ -0,0 +1,89 @@

+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

config.json ADDED Viewed

	@@ -0,0 +1,63 @@

+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 6144,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 40960,
+  "max_window_layers": 28,
+  "model_type": "qwen3",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
+  "pad_token_id": null,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.5.1",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json ADDED Viewed

	@@ -0,0 +1,13 @@

+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "5.5.1"
+}

model.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:a8d39eaf6b1b4b44d766bfe6312af5f3ed6cd42e4273156306e13c5e68c3f9c3
+size 3441185608

tokenizer.json ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
+size 11422650

tokenizer_config.json ADDED Viewed

	@@ -0,0 +1,29 @@

+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "is_local": false,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}