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README.md

@@ -1,14 +1,14 @@
 ---
 license: apache-2.0
 inference: false 
-base_model: Qwen/Qwen2.5-3B-Instruct
+base_model: Qwen/Qwen3-8b-ov
 base_model_relation: quantized
-tags: [green, llmware-chat, p3, ov, emerald]
+tags: [green, llmware-chat, p8, ov, emerald]
 ---
 
-# qwen2.5-3b-instruct-ov
+# qwen3-8b-ov
 
-**qwen2.5-3b-instruct-ov** is an OpenVino int4 quantized version of [Qwen2.5-3B-Instruct](https://www.huggingface.co/Qwen/Qwen2.5-3B-Instruct), providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.    
+**qwen3-8b-ov** is an OpenVino int4 quantized version of [Qwen3-8B](https://www.huggingface.co/Qwen/Qwen3-8B), providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.    
 
 This is from the latest release series from Qwen.  
 
@@ -16,9 +16,9 @@ This is from the latest release series from Qwen.
 
 - **Developed by:** Qwen
 - **Quantized by:** llmware  
-- **Model type:** qwen2.5
-- **Parameters:** 3 billion  
-- **Model Parent:** Qwen/Qwen2.5-3B-Instruct  
+- **Model type:** qwen3
+- **Parameters:** 8 billion  
+- **Model Parent:** Qwen/Qwen3-8B 
 - **Language(s) (NLP):** English  
 - **License:** Apache 2.0  
 - **Uses:** Chat, general-purpose LLM  

hash_record_sha256.json

@@ -1,9 +1,5 @@
 {
- "openvino_detokenizer.bin": "604a616715346ed0b7a2978cfaf1d36b24e9dbe728533d34b23ef07c06bfe7dc",
- "openvino_detokenizer.xml": "0e84db0c6980e740786a5313af38e7febb6f53a82eda968504a16d3ab56e31a4",
- "openvino_model.bin": "57f305f385f17cbfbdd4cf32d60661b2502ed81a86a806498eb6b96f29f31743",
- "openvino_model.xml": "591dc1fe17f63303c3f2572f26cc095f410d0e3f2d8c51201e3be1b90ff887a7",
- "openvino_tokenizer.bin": "a153d489e0f225c8b266e0275af34d2d0eeef3a28be6596f5eb7d1749bff433b",
- "openvino_tokenizer.xml": "6db2f2cbba2e64e8ab53f2f72a78f0b315dd2181a1b8b66d9fa96ac99a101278",
- "time_stamp": "2024-10-05_115934"
+ "openvino_model.bin": "b3204fd8bb2963f386d3978948d29fbce26a6279c49046d63f836658c7c289d6",
+ "openvino_model.xml": "1b69a63702902cf91d42668d53157095535bb5a3b7ac9860d586586a8320009e",
+ "time_stamp": "2025-07-16_052603"
 }