初始化项目，由ModelHub XC社区提供模型

Model: hmuegyi/Qwen2.5-7B-bnb-en-my-alt Source: Original Platform
2026-05-10 07:17:12 +08:00
commit 9411451100
14 changed files with 152192 additions and 0 deletions
--- a/README.md
+++ b/README.md
@@ -0,0 +1,83 @@
+---
+base_model: unsloth/qwen2.5-7b-bnb-4bit
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- qwen2
+license: apache-2.0
+language:
+- en
+pipeline_tag: translation
+---
+
+# Uploaded finetuned  model
+
+- **Developed by:** hmuegyi
+- **License:** apache-2.0
+- **Finetuned from model :** unsloth/qwen2.5-7b-bnb-4bit
+
+### First, we need to install python library
+```python
+%%capture
+import os, re
+if "COLAB_" not in "".join(os.environ.keys()):
+    !pip install unsloth
+else:
+    # Do this only in Colab notebooks! Otherwise use pip install unsloth
+    import torch; v = re.match(r"[0-9]{1,}\.[0-9]{1,}", str(torch.__version__)).group(0)
+    xformers = "xformers==" + ("0.0.33.post1" if v=="2.9" else "0.0.32.post2" if v=="2.8" else "0.0.29.post3")
+    !pip install --no-deps bitsandbytes accelerate {xformers} peft trl triton cut_cross_entropy unsloth_zoo
+    !pip install sentencepiece protobuf "datasets==4.3.0" "huggingface_hub>=0.34.0" hf_transfer
+    !pip install --no-deps unsloth
+!pip install transformers==4.56.2
+!pip install --no-deps trl==0.22.2
+```
+
+### Then, you can test with this code 
+```python
+from unsloth import FastLanguageModel
+import torch
+
+model, tokenizer = FastLanguageModel.from_pretrained(
+    model_name = "hmuegyi/Qwen2.5-7B-bnb-en-my-alt", 
+    max_seq_length = 2048,
+    load_in_4bit = True, # Memory သက်သာအောင်
+)
+FastLanguageModel.for_inference(model)
+
+alpaca_prompt = """### Instruction:
+You are a professional English-Burmese translator. 
+Detect the input language and provide the translation in the opposite language.
+
+### Input:
+{}
+
+### Response:
+{}"""
+
+input_text = "I love Myanmar Country."  # you can change input text
+inputs = tokenizer(
+    [
+        alpaca_prompt.format(
+            input_text, # Input
+            "",         # Response
+        )
+    ], return_tensors = "pt").to("cuda")
+
+outputs = model.generate(**inputs,
+                         max_new_tokens = 128,
+                         temperature = 0.1,  
+                         top_p = 0.5,
+                         use_cache = True)
+
+response = tokenizer.batch_decode(outputs)
+
+final_output = response[0].split("### Response:")[1].replace(tokenizer.eos_token, "").strip()
+print(f"Input: {input_text}")
+print(f"Translation: {final_output}")
+```
+
+This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)