Qwen 2.5 7B Instruct 1M
Original Author : Qwen.
Model Owner: Qwen.
Original Repository: Qwen/Qwen2.5-7B-Instruct-1M.
Conversion Tool: llama.cpp.
Description
This repo contains Qwen2.5-7B-Instruct-1M model in gguf format to be leveraged by LLM inference engines that can process GGUF file.
Conversion Process
Original model Qwen safetensors are converted using the llama.cpp model conversion script.
The default configuration applied during the conversion process. In other words, neither the imatrix applied or the GGUF parameters altered.
For detailed information about the conversion process: Converting to GGUF
MBASE GGUF Documentation
For general information about GGUF files: About GGUF Files
Chat Template
<|im_start|>{system_prompt}
<|im_end|>
<|im_start|>{user_prompt}
<|im_end|>
<|im_start|>{assistant_response}
<|im_end|>
Disclaimer
MBASE Software Corporation is a software company officially registered as (MBASE Yazılım A.Ş.) in Turkey (https://www.mbasesoftware.com). Throughout this document, references to MBASE Software Corporation or MBASE refer to the (MBASE Yazılım A.Ş.)
MBASE is not the creator, originator, or owner of the model featured in this repository. This model is created and provided by third parties. MBASE does not endorse, support, or guarantee the completeness, accuracy, or reliability of the model or its outputs.
You understand that the model can generate content that may be offensive, harmful, inaccurate, inappropriate, or deceptive. Responsibility for the model and its outputs lies solely with the entity or individual who created and provided the model. MBASE does not monitor or control the model's outputs and disclaims any liability arising from its use.
MBASE provides no warranties regarding the accuracy, reliability, or fitness of the model for any particular purpose. Additionally, MBASE disclaims any guarantees that the model will operate without errors, interruptions, viruses, or other issues. You are solely responsible for any consequences resulting from the use or access of this model, including any damage caused by downloading or utilizing it.
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