Instructions to use cowWhySo/qwen3_5_2B_voice_assistant-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use cowWhySo/qwen3_5_2B_voice_assistant-lora with Transformers:

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

pipe = pipeline("text-generation", model="cowWhySo/qwen3_5_2B_voice_assistant-lora")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("cowWhySo/qwen3_5_2B_voice_assistant-lora", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use cowWhySo/qwen3_5_2B_voice_assistant-lora with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "cowWhySo/qwen3_5_2B_voice_assistant-lora"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cowWhySo/qwen3_5_2B_voice_assistant-lora",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/cowWhySo/qwen3_5_2B_voice_assistant-lora

SGLang

How to use cowWhySo/qwen3_5_2B_voice_assistant-lora 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 "cowWhySo/qwen3_5_2B_voice_assistant-lora" \
    --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": "cowWhySo/qwen3_5_2B_voice_assistant-lora",
		"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 "cowWhySo/qwen3_5_2B_voice_assistant-lora" \
        --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": "cowWhySo/qwen3_5_2B_voice_assistant-lora",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Unsloth Desktop
Docker Model Runner
How to use cowWhySo/qwen3_5_2B_voice_assistant-lora with Docker Model Runner:
```
docker model run hf.co/cowWhySo/qwen3_5_2B_voice_assistant-lora
```

cowWhySo commited on Mar 19

Commit

3ba2902

verified ·

1 Parent(s): 7c7f714

Upload model trained with Unsloth

Browse files

Upload model trained with Unsloth 2x faster

Files changed (3) hide show

README.md +8 -8
adapter_config.json +5 -5
adapter_model.safetensors +1 -1

README.md CHANGED Viewed

@@ -2,15 +2,15 @@
 license: apache-2.0
 base_model: unsloth/Qwen3.5-2B
 tags:
-  - qwen3.5
-  - voice-assistant
-  - conversational
-  - sft
-  - lora
-  - unsloth
-  - gguf
 language:
-  - en
 pipeline_tag: text-generation
 library_name: transformers
 ---

 license: apache-2.0
 base_model: unsloth/Qwen3.5-2B
 tags:
+- qwen3.5
+- voice-assistant
+- conversational
+- sft
+- lora
+- unsloth
+- gguf
 language:
+- en
 pipeline_tag: text-generation
 library_name: transformers
 ---

adapter_config.json CHANGED Viewed

@@ -20,7 +20,7 @@
   "layers_pattern": null,
   "layers_to_transform": null,
   "loftq_config": {},
-  "lora_alpha": 64,
   "lora_bias": false,
   "lora_dropout": 0.05,
   "megatron_config": null,
@@ -33,13 +33,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "o_proj",
-    "up_proj",
-    "v_proj",
     "gate_proj",
     "q_proj",
     "k_proj",
-    "down_proj"
   ],
   "target_parameters": null,
   "task_type": "CAUSAL_LM",

   "layers_pattern": null,
   "layers_to_transform": null,
   "loftq_config": {},
+  "lora_alpha": 32,
   "lora_bias": false,
   "lora_dropout": 0.05,
   "megatron_config": null,
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
     "gate_proj",
+    "o_proj",
+    "down_proj",
     "q_proj",
     "k_proj",
+    "v_proj",
+    "up_proj"
   ],
   "target_parameters": null,
   "task_type": "CAUSAL_LM",

adapter_model.safetensors CHANGED Viewed

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