DISLab
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Gen-8B-R2

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 ---
+license: apache-2.0
+language:
+- en
+base_model:
+- meta-llama/Llama-3.2-3B-Instruct
+pipeline_tag: text-generation
 ---
+<div align="center">
+  <b style="font-size: 40px;">Gen-8B-R2</b>
+</div>
+Note: We are still working on this.
+Are you looking for a more robust and reliable generation model for RAG system?
+Here is a Gen-8B-R2 model that effectively mitigates hallucinations caused by retrieval noise and information overload.
+See the details in our paper [Link](https://arxiv.org/pdf/2503.04789)
+### What is Gen-8B-R2?
+This model is one of the variant of Ext2Gen-8B-R2, which disables the process of extracting sentences from the chunk list.
+See the details of Ext2Gen-8B-R2 in https://huggingface.co/DISLab/Ext2Gen-8B-R2
+### Recommended Prompt
+- query: the query to answer
+- chunk_list: the list of retrieved chunks, e.g., ["chunk 1", "chunk 2", "chunk 3"]
+```python
+def prepare_sample_text(prompt):
+    row_json = [{"role": "user", "content": prompt}]
+    return tokenizer.apply_chat_template(row_json, tokenize=False)
+def format_prompt_template(query, chunk_list):
+    chunk_list = ['[Chunk ID: '+ str(idx+1) + '] ' + chunk_text for idx, chunk_text in enumerate(chunk_list)]
+    chunk_list = '\n\n'.join(chunk_list)
+    prompt = '''
+You are an expert assistant trained to generate answers based on document chunks.
+### Generation Instruction:
+- Answer to the Query based on the given Chunk List.
+### Query:
+%s
+### Chunk List:
+%s
+### Output:
+''' % (query, chunk_list)
+    return prompt.strip()
+prompt = format_prompt_template(query, noisy_chunks)
+prompt =  prepare_sample_text(prompt)
+```
+Note that this prompt outputs both extracted relevant sentences and the answer to the query.
+The output follows a consistent format as seen in an example below.
+```
+Extracted Sentences:
+- The estimated number of deaths is 150-300,000, mainly Jews.
+Answer: The estimated number of deaths at Chelmno is 150-300,000, mainly Jews.
+```
+The number of extracted sentences vary depending on the QA.
+### Recommended Generation Parameters
+```python
+max_new_tokens=1024, # or 2048
+do_sample=True,
+temperature=0.8,
+top_p=0.9,
+```