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--- |
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base_model: malhajar/phi-2-chat |
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datasets: |
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- yahma/alpaca-cleaned |
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inference: false |
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language: |
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- en |
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model_creator: malhajar |
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model_name: phi-2-chat |
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pipeline_tag: text-generation |
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quantized_by: afrideva |
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tags: |
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- gguf |
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- ggml |
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- quantized |
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- q2_k |
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- q3_k_m |
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- q4_k_m |
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- q5_k_m |
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- q6_k |
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- q8_0 |
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--- |
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# malhajar/phi-2-chat-GGUF |
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Quantized GGUF model files for [phi-2-chat](https://huggingface.co/malhajar/phi-2-chat) from [malhajar](https://huggingface.co/malhajar) |
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| Name | Quant method | Size | |
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| ---- | ---- | ---- | |
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| [phi-2-chat.fp16.gguf](https://huggingface.co/afrideva/phi-2-chat-GGUF/resolve/main/phi-2-chat.fp16.gguf) | fp16 | 5.56 GB | |
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| [phi-2-chat.q2_k.gguf](https://huggingface.co/afrideva/phi-2-chat-GGUF/resolve/main/phi-2-chat.q2_k.gguf) | q2_k | 1.17 GB | |
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| [phi-2-chat.q3_k_m.gguf](https://huggingface.co/afrideva/phi-2-chat-GGUF/resolve/main/phi-2-chat.q3_k_m.gguf) | q3_k_m | 1.48 GB | |
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| [phi-2-chat.q4_k_m.gguf](https://huggingface.co/afrideva/phi-2-chat-GGUF/resolve/main/phi-2-chat.q4_k_m.gguf) | q4_k_m | 1.79 GB | |
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| [phi-2-chat.q5_k_m.gguf](https://huggingface.co/afrideva/phi-2-chat-GGUF/resolve/main/phi-2-chat.q5_k_m.gguf) | q5_k_m | 2.07 GB | |
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| [phi-2-chat.q6_k.gguf](https://huggingface.co/afrideva/phi-2-chat-GGUF/resolve/main/phi-2-chat.q6_k.gguf) | q6_k | 2.29 GB | |
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| [phi-2-chat.q8_0.gguf](https://huggingface.co/afrideva/phi-2-chat-GGUF/resolve/main/phi-2-chat.q8_0.gguf) | q8_0 | 2.96 GB | |
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## Original Model Card: |
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# Model Card for Model ID |
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<!-- Provide a quick summary of what the model is/does. --> |
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malhajar/phi-2-chat is a finetuned version of [`phi-2`]( https://huggingface.co/microsoft/phi-2) using SFT Training. |
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This model can answer information in a chat format as it is finetuned specifically on instructions specifically [`alpaca-cleaned`]( https://huggingface.co/datasets/yahma/alpaca-cleaned) |
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### Model Description |
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- **Developed by:** [`Mohamad Alhajar`](https://www.linkedin.com/in/muhammet-alhajar/) |
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- **Language(s) (NLP):** Turkish |
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- **Finetuned from model:** [`microsoft/phi-2`](https://huggingface.co/microsoft/phi-2) |
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### Prompt Template |
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``` |
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### Instruction: |
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<prompt> (without the <>) |
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### Response: |
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``` |
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## How to Get Started with the Model |
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Use the code sample provided in the original post to interact with the model. |
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```python |
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from transformers import AutoTokenizer,AutoModelForCausalLM |
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model_id = "malhajar/phi-2-chat" |
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model = AutoModelForCausalLM.from_pretrained(model_name_or_path, |
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device_map="auto", |
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torch_dtype=torch.float16, |
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revision="main") |
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tokenizer = AutoTokenizer.from_pretrained(model_id) |
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question: "Türkiyenin en büyük şehir nedir?" |
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# For generating a response |
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prompt = ''' |
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### Instruction: {question} ### Response: |
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''' |
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input_ids = tokenizer(prompt, return_tensors="pt").input_ids |
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output = model.generate(inputs=input_ids,max_new_tokens=512,pad_token_id=tokenizer.eos_token_id,top_k=50, do_sample=True,repetition_penalty=1.3 |
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top_p=0.95,trust_remote_code=True,) |
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response = tokenizer.decode(output[0]) |
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print(response) |
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``` |
