Update README.md

README.md

@@ -23,6 +23,102 @@ tags:
 This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
 
 ## Merge Details
+This model aims to combine the code and math capabilities by merging Qwen 3 2507 with multiple Qwen 3 finetunes. 
+
+# How to run 
+You can run this model by using multiple interface choices 
+
+## transformers
+As the qwen team suggested to use
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "ertghiu256/Qwen3-4b-tcomanr-merge-v2"
+
+# 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,
+    enable_thinking=True # Switches between thinking and non-thinking modes. Default is 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)
+print("content:", content)
+```
+
+## vllm
+Run this command
+```bash
+vllm serve ertghiu256/Qwen3-4b-tcomanr-merge-v2 --enable-reasoning --reasoning-parser deepseek_r1
+```
+
+## Sglang
+Run this command
+```bash
+python -m sglang.launch_server --model-path ertghiu256/Qwen3-4b-tcomanr-merge-v2 --reasoning-parser deepseek-r1
+```
+
+## llama.cpp
+Run this command
+```bash
+llama-server --hf-repo ertghiu256/Qwen3-4b-tcomanr-merge-v2
+```
+or
+```bash
+llama-cli --hf ertghiu256/Qwen3-4b-tcomanr-merge-v2
+```
+
+## ollama
+Run this command 
+```bash
+ollama run hf.co/ertghiu256/Qwen3-4b-tcomanr-merge-v2:Q8_0
+```
+
+## lm studio 
+Search 
+```
+ertghiu256/Qwen3-4b-tcomanr-merge-v2
+```
+in the lm studio model search list then download
+
+### Recomended parameters
+```
+temp: 0.6
+num_ctx: ≥8192
+top_p: 0.95
+top_k: 30
+```
 ### Merge Method
 
 This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [Qwen/Qwen3-4B-Thinking-2507](https://huggingface.co/Qwen/Qwen3-4B-Thinking-2507) as a base.