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Model: ertghiu256/Qwen3-4B-Thinking-2507-Hermes-3
Source: Original Platform

README.md

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+---
+license: apache-2.0
+datasets:
+- NousResearch/Hermes-3-Dataset
+language:
+- en
+base_model:
+- Qwen/Qwen3-4B-Thinking-2507
+---
+
+# Qwen3-4B-Thinking-2507-Hermes-3
+A qwen3 4b 2507 thinking model finetuned with the hermes 3 dataset.
+
+## Capabilities:
+  - Reasoning retained
+  - Better instruction following
+
+### How to run:
+
+#### Transformers
+Run this code
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "ertghiu256/Qwen3-4B-Thinking-2507-Hermes-3"
+
+# load the tokenizer and the model
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    torch_dtype="auto",
+    device_map="auto"
+)
+
+# prepare the model input
+prompt = "Give me a short introduction to large language model."
+messages = [
+    {"role": "user", "content": prompt}
+]
+text = tokenizer.apply_chat_template(
+    messages,
+    tokenize=False,
+    add_generation_prompt=True,
+)
+model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
+
+# conduct text completion
+generated_ids = model.generate(
+    **model_inputs,
+    max_new_tokens=32768
+)
+output_ids = generated_ids[0][len(model_inputs.input_ids[0]):].tolist() 
+
+# parsing thinking content
+try:
+    # rindex finding 151668 (</think>)
+    index = len(output_ids) - output_ids[::-1].index(151668)
+except ValueError:
+    index = 0
+
+thinking_content = tokenizer.decode(output_ids[:index], skip_special_tokens=True).strip("\n")
+content = tokenizer.decode(output_ids[index:], skip_special_tokens=True).strip("\n")
+
+print("thinking content:", thinking_content) # no opening <think> tag
+print("content:", content)
+```
+
+#### Vllm
+Run this command
+```bash
+vllm serve ertghiu256/Qwen3-4B-Thinking-2507-Hermes-3 --max-model-len 262144 --enable-reasoning --reasoning-parser deepseek_r1
+```
+
+#### Sglang
+Run this command
+```bash
+python -m sglang.launch_server --model-path ertghiu256/Qwen3-4B-Thinking-2507-Hermes-3 --context-length 262144  --reasoning-parser deepseek-r1
+```
+
+#### Llama.cpp
+Run this command
+```
+llama-server --hf-repo ertghiu256/Qwen3-4B-Thinking-2507-Hermes-3
+```
+
+#### Ollama
+Run this command
+```bash
+ollama run hf.co/ertghiu256/Qwen3-4B-Thinking-2507-Hermes-3:IQ4_NL
+```
+or
+```bash
+ollama run hf.co/ertghiu256/Qwen3-4B-Thinking-2507-Hermes-3:Q5_K_M
+```
+
+#### Lm Studio
+[LM Studio link](https://model.lmstudio.ai/download/ertghiu256/Qwen3-Hermes-4b)
+
+### Recommended parameters
+```
+Temp: 0.6
+Top_P: 20
+Top_K: 0.95
+```
+
+### Training details
+```
+Trained with Unsloth
+Training parameters
+ - 60 steps
+ - 3-e5 Learning rate
+ - 28k samples from Hermes 3 dataset
+```