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  1. README.md +33 -3
  2. config.json +144 -0
  3. hash_record_sha256.json +4 -0
README.md CHANGED
@@ -1,3 +1,33 @@
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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ inference: false
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+ base_model: microsoft/phi-4-mini-instruct
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+ base_model_relation: quantized
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+ tags: [green, llmware-chat, p4, gguf,emerald]
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+ ---
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+
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+ # phi-4-mini-instruct-gguf
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+
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+ **phi-4-mini-instruct-gguf** is a GGUF Q4_K_M int4 quantized version of [phi-4-mini-instruct](https://www.huggingface.co/microsoft/phi-4-instruct), providing a very fast inference implementation, optimized for AI PCs.
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+
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+ This model will run on an AI PC with at least 16 GB of memory.
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+
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+ ### Model Description
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+
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+ - **Developed by:** Microsoft
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+ - **Model type:** phi-4-mini
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+ - **Parameters:** 4 billion
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+ - **Model Parent:** Microsoft/Phi-4-Mini-Instruct
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+ - **Language(s) (NLP):** English
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+ - **License:** Apache 2.0
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+ - **Uses:** Chat, general-purpose LLM
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+ - **Quantization:** int4
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+
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+
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+ ## Model Card Contact
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+
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+ [llmware on github](https://www.github.com/llmware-ai/llmware)
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+
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+ [llmware on hf](https://www.huggingface.co/llmware)
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+
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+ [llmware website](https://www.llmware.ai)
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+ "_name_or_path": "Phi-4-mini-instruct",
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+ "architectures": [
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+ "Phi3ForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "auto_map": {
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+ "AutoConfig": "configuration_phi3.Phi3Config",
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+ "AutoModelForCausalLM": "modeling_phi3.Phi3ForCausalLM",
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+ "AutoTokenizer": "Xenova/gpt-4o"
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+ },
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+ "bos_token_id": 199999,
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