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phi-4-int8-ov

Text Generation
Transformers
OpenVINO
English
phi3
phi
nlp
math
code
chat
conversational
Model card Files Community
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  1. README.md +116 -0
  2. config.json +33 -0
  3. generation_config.json +7 -0
  4. merges.txt +0 -0
  5. openvino_detokenizer.bin +3 -0
  6. openvino_detokenizer.xml +220 -0
  7. openvino_model.bin +3 -0
  8. openvino_model.xml +0 -0
  9. openvino_tokenizer.bin +3 -0
  10. openvino_tokenizer.xml +686 -0
  11. special_tokens_map.json +24 -0
  12. tokenizer.json +0 -0
  13. tokenizer_config.json +782 -0
  14. vocab.json +0 -0
README.md ADDED
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+ ---
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+ license: mit
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+ license_link: https://huggingface.co/microsoft/phi-4/resolve/main/LICENSE
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+ base_model:
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+ - microsoft/phi-4
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+ base_model_relation: quantized
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+ language:
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+ - en
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+ pipeline_tag: text-generation
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+ tags:
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+ - phi
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+ - nlp
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+ - math
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+ - code
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+ - chat
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+ - conversational
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+ library_name: transformers
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+ ---
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+
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+ # phi-4-int8-ov
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+ * Model creator: [microsoft](https://huggingface.co/microsoft)
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+ * Original model: [phi-4](https://huggingface.co/microsoft/phi-4)
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+
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+ ## Description
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+ This is [phi-4](https://huggingface.co/microsoft/phi-4) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2025/documentation/openvino-ir-format.html) (Intermediate Representation) format with weights compressed to INT8 by [NNCF](https://github.com/openvinotoolkit/nncf).
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+
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+ ## Quantization Parameters
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+
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+ Weight compression was performed using `nncf.compress_weights` with the following parameters:
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+
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+ * mode: **INT8_ASYM**
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+
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+ For more information on quantization, check the [OpenVINO model optimization guide](https://docs.openvino.ai/2025/openvino-workflow/model-optimization-guide/weight-compression.html).
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+
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+ ## Compatibility
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+
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+ The provided OpenVINO™ IR model is compatible with:
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+
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+ * OpenVINO version 2025.1.0 and higher
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+ * Optimum Intel 1.24.0 and higher
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+
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+ ## Running Model Inference with [Optimum Intel](https://huggingface.co/docs/optimum/intel/index)
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+
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+ 1. Install packages required for using [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) integration with the OpenVINO backend:
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+
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+ ```
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+ pip install optimum[openvino]
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+ ```
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+
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+ 2. Run model inference:
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+
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+ ```
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+ from transformers import AutoTokenizer
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+ from optimum.intel.openvino import OVModelForCausalLM
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+
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+ model_id = "OpenVINO/phi-4-int8-ov"
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+ tokenizer = AutoTokenizer.from_pretrained(model_id)
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+ model = OVModelForCausalLM.from_pretrained(model_id)
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+
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+ inputs = tokenizer("What is OpenVINO?", return_tensors="pt")
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+
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+ outputs = model.generate(**inputs, max_length=200)
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+ text = tokenizer.batch_decode(outputs)[0]
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+ print(text)
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+ ```
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+
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+ For more examples and possible optimizations, refer to the [Inference with Optimum Intel](https://docs.openvino.ai/2025/openvino-workflow-generative/inference-with-optimum-intel.html).
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+
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+ ## Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)
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+
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+
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+ 1. Install packages required for using OpenVINO GenAI.
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+ ```
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+ pip install openvino-genai huggingface_hub
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+ ```
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+
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+ 2. Download model from HuggingFace Hub
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+
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+ ```
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+ import huggingface_hub as hf_hub
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+
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+ model_id = "OpenVINO/phi-4-int8-ov"
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+ model_path = "phi-4-int8-ov"
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+
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+ hf_hub.snapshot_download(model_id, local_dir=model_path)
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+
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+ ```
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+
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+ 3. Run model inference:
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+
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+ ```
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+ import openvino_genai as ov_genai
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+
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+ device = "CPU"
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+ pipe = ov_genai.LLMPipeline(model_path, device)
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+ print(pipe.generate("What is OpenVINO?", max_length=200))
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+ ```
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+
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+ More GenAI usage examples can be found in OpenVINO GenAI library [docs](https://docs.openvino.ai/2025/openvino-workflow-generative/inference-with-genai.html) and [samples](https://github.com/openvinotoolkit/openvino.genai?tab=readme-ov-file#openvino-genai-samples)
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+
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+ You can find more detaild usage examples in OpenVINO Notebooks:
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+
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+ - [LLM](https://openvinotoolkit.github.io/openvino_notebooks/?search=LLM)
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+ - [RAG text generation](https://openvinotoolkit.github.io/openvino_notebooks/?search=RAG+system&tasks=Text+Generation)
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+
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+ ## Limitations
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+
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+ Check the original [model card](https://huggingface.co/microsoft/phi-4) for limitations.
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+
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+ ## Legal information
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+
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+ The original model is distributed under [mit](https://huggingface.co/microsoft/phi-4/resolve/main/LICENSE) license. More details can be found in [phi-4](https://huggingface.co/microsoft/phi-4).
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+
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+ ## Disclaimer
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+
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+ Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See [Intel’s Global Human Rights Principles](https://www.intel.com/content/dam/www/central-libraries/us/en/documents/policy-human-rights.pdf). Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.
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+ "rstrip": true,
337
+ "single_word": false,
338
+ "special": true
339
+ },
340
+ "100298": {
341
+ "content": "<|dummy_34|>",
342
+ "lstrip": true,
343
+ "normalized": false,
344
+ "rstrip": true,
345
+ "single_word": false,
346
+ "special": true
347
+ },
348
+ "100299": {
349
+ "content": "<|dummy_35|>",
350
+ "lstrip": true,
351
+ "normalized": false,
352
+ "rstrip": true,
353
+ "single_word": false,
354
+ "special": true
355
+ },
356
+ "100300": {
357
+ "content": "<|dummy_36|>",
358
+ "lstrip": true,
359
+ "normalized": false,
360
+ "rstrip": true,
361
+ "single_word": false,
362
+ "special": true
363
+ },
364
+ "100301": {
365
+ "content": "<|dummy_37|>",
366
+ "lstrip": true,
367
+ "normalized": false,
368
+ "rstrip": true,
369
+ "single_word": false,
370
+ "special": true
371
+ },
372
+ "100302": {
373
+ "content": "<|dummy_38|>",
374
+ "lstrip": true,
375
+ "normalized": false,
376
+ "rstrip": true,
377
+ "single_word": false,
378
+ "special": true
379
+ },
380
+ "100303": {
381
+ "content": "<|dummy_39|>",
382
+ "lstrip": true,
383
+ "normalized": false,
384
+ "rstrip": true,
385
+ "single_word": false,
386
+ "special": true
387
+ },
388
+ "100304": {
389
+ "content": "<|dummy_40|>",
390
+ "lstrip": true,
391
+ "normalized": false,
392
+ "rstrip": true,
393
+ "single_word": false,
394
+ "special": true
395
+ },
396
+ "100305": {
397
+ "content": "<|dummy_41|>",
398
+ "lstrip": true,
399
+ "normalized": false,
400
+ "rstrip": true,
401
+ "single_word": false,
402
+ "special": true
403
+ },
404
+ "100306": {
405
+ "content": "<|dummy_42|>",
406
+ "lstrip": true,
407
+ "normalized": false,
408
+ "rstrip": true,
409
+ "single_word": false,
410
+ "special": true
411
+ },
412
+ "100307": {
413
+ "content": "<|dummy_43|>",
414
+ "lstrip": true,
415
+ "normalized": false,
416
+ "rstrip": true,
417
+ "single_word": false,
418
+ "special": true
419
+ },
420
+ "100308": {
421
+ "content": "<|dummy_44|>",
422
+ "lstrip": true,
423
+ "normalized": false,
424
+ "rstrip": true,
425
+ "single_word": false,
426
+ "special": true
427
+ },
428
+ "100309": {
429
+ "content": "<|dummy_45|>",
430
+ "lstrip": true,
431
+ "normalized": false,
432
+ "rstrip": true,
433
+ "single_word": false,
434
+ "special": true
435
+ },
436
+ "100310": {
437
+ "content": "<|dummy_46|>",
438
+ "lstrip": true,
439
+ "normalized": false,
440
+ "rstrip": true,
441
+ "single_word": false,
442
+ "special": true
443
+ },
444
+ "100311": {
445
+ "content": "<|dummy_47|>",
446
+ "lstrip": true,
447
+ "normalized": false,
448
+ "rstrip": true,
449
+ "single_word": false,
450
+ "special": true
451
+ },
452
+ "100312": {
453
+ "content": "<|dummy_48|>",
454
+ "lstrip": true,
455
+ "normalized": false,
456
+ "rstrip": true,
457
+ "single_word": false,
458
+ "special": true
459
+ },
460
+ "100313": {
461
+ "content": "<|dummy_49|>",
462
+ "lstrip": true,
463
+ "normalized": false,
464
+ "rstrip": true,
465
+ "single_word": false,
466
+ "special": true
467
+ },
468
+ "100314": {
469
+ "content": "<|dummy_50|>",
470
+ "lstrip": true,
471
+ "normalized": false,
472
+ "rstrip": true,
473
+ "single_word": false,
474
+ "special": true
475
+ },
476
+ "100315": {
477
+ "content": "<|dummy_51|>",
478
+ "lstrip": true,
479
+ "normalized": false,
480
+ "rstrip": true,
481
+ "single_word": false,
482
+ "special": true
483
+ },
484
+ "100316": {
485
+ "content": "<|dummy_52|>",
486
+ "lstrip": true,
487
+ "normalized": false,
488
+ "rstrip": true,
489
+ "single_word": false,
490
+ "special": true
491
+ },
492
+ "100317": {
493
+ "content": "<|dummy_53|>",
494
+ "lstrip": true,
495
+ "normalized": false,
496
+ "rstrip": true,
497
+ "single_word": false,
498
+ "special": true
499
+ },
500
+ "100318": {
501
+ "content": "<|dummy_54|>",
502
+ "lstrip": true,
503
+ "normalized": false,
504
+ "rstrip": true,
505
+ "single_word": false,
506
+ "special": true
507
+ },
508
+ "100319": {
509
+ "content": "<|dummy_55|>",
510
+ "lstrip": true,
511
+ "normalized": false,
512
+ "rstrip": true,
513
+ "single_word": false,
514
+ "special": true
515
+ },
516
+ "100320": {
517
+ "content": "<|dummy_56|>",
518
+ "lstrip": true,
519
+ "normalized": false,
520
+ "rstrip": true,
521
+ "single_word": false,
522
+ "special": true
523
+ },
524
+ "100321": {
525
+ "content": "<|dummy_57|>",
526
+ "lstrip": true,
527
+ "normalized": false,
528
+ "rstrip": true,
529
+ "single_word": false,
530
+ "special": true
531
+ },
532
+ "100322": {
533
+ "content": "<|dummy_58|>",
534
+ "lstrip": true,
535
+ "normalized": false,
536
+ "rstrip": true,
537
+ "single_word": false,
538
+ "special": true
539
+ },
540
+ "100323": {
541
+ "content": "<|dummy_59|>",
542
+ "lstrip": true,
543
+ "normalized": false,
544
+ "rstrip": true,
545
+ "single_word": false,
546
+ "special": true
547
+ },
548
+ "100324": {
549
+ "content": "<|dummy_60|>",
550
+ "lstrip": true,
551
+ "normalized": false,
552
+ "rstrip": true,
553
+ "single_word": false,
554
+ "special": true
555
+ },
556
+ "100325": {
557
+ "content": "<|dummy_61|>",
558
+ "lstrip": true,
559
+ "normalized": false,
560
+ "rstrip": true,
561
+ "single_word": false,
562
+ "special": true
563
+ },
564
+ "100326": {
565
+ "content": "<|dummy_62|>",
566
+ "lstrip": true,
567
+ "normalized": false,
568
+ "rstrip": true,
569
+ "single_word": false,
570
+ "special": true
571
+ },
572
+ "100327": {
573
+ "content": "<|dummy_63|>",
574
+ "lstrip": true,
575
+ "normalized": false,
576
+ "rstrip": true,
577
+ "single_word": false,
578
+ "special": true
579
+ },
580
+ "100328": {
581
+ "content": "<|dummy_64|>",
582
+ "lstrip": true,
583
+ "normalized": false,
584
+ "rstrip": true,
585
+ "single_word": false,
586
+ "special": true
587
+ },
588
+ "100329": {
589
+ "content": "<|dummy_65|>",
590
+ "lstrip": true,
591
+ "normalized": false,
592
+ "rstrip": true,
593
+ "single_word": false,
594
+ "special": true
595
+ },
596
+ "100330": {
597
+ "content": "<|dummy_66|>",
598
+ "lstrip": true,
599
+ "normalized": false,
600
+ "rstrip": true,
601
+ "single_word": false,
602
+ "special": true
603
+ },
604
+ "100331": {
605
+ "content": "<|dummy_67|>",
606
+ "lstrip": true,
607
+ "normalized": false,
608
+ "rstrip": true,
609
+ "single_word": false,
610
+ "special": true
611
+ },
612
+ "100332": {
613
+ "content": "<|dummy_68|>",
614
+ "lstrip": true,
615
+ "normalized": false,
616
+ "rstrip": true,
617
+ "single_word": false,
618
+ "special": true
619
+ },
620
+ "100333": {
621
+ "content": "<|dummy_69|>",
622
+ "lstrip": true,
623
+ "normalized": false,
624
+ "rstrip": true,
625
+ "single_word": false,
626
+ "special": true
627
+ },
628
+ "100334": {
629
+ "content": "<|dummy_70|>",
630
+ "lstrip": true,
631
+ "normalized": false,
632
+ "rstrip": true,
633
+ "single_word": false,
634
+ "special": true
635
+ },
636
+ "100335": {
637
+ "content": "<|dummy_71|>",
638
+ "lstrip": true,
639
+ "normalized": false,
640
+ "rstrip": true,
641
+ "single_word": false,
642
+ "special": true
643
+ },
644
+ "100336": {
645
+ "content": "<|dummy_72|>",
646
+ "lstrip": true,
647
+ "normalized": false,
648
+ "rstrip": true,
649
+ "single_word": false,
650
+ "special": true
651
+ },
652
+ "100337": {
653
+ "content": "<|dummy_73|>",
654
+ "lstrip": true,
655
+ "normalized": false,
656
+ "rstrip": true,
657
+ "single_word": false,
658
+ "special": true
659
+ },
660
+ "100338": {
661
+ "content": "<|dummy_74|>",
662
+ "lstrip": true,
663
+ "normalized": false,
664
+ "rstrip": true,
665
+ "single_word": false,
666
+ "special": true
667
+ },
668
+ "100339": {
669
+ "content": "<|dummy_75|>",
670
+ "lstrip": true,
671
+ "normalized": false,
672
+ "rstrip": true,
673
+ "single_word": false,
674
+ "special": true
675
+ },
676
+ "100340": {
677
+ "content": "<|dummy_76|>",
678
+ "lstrip": true,
679
+ "normalized": false,
680
+ "rstrip": true,
681
+ "single_word": false,
682
+ "special": true
683
+ },
684
+ "100341": {
685
+ "content": "<|dummy_77|>",
686
+ "lstrip": true,
687
+ "normalized": false,
688
+ "rstrip": true,
689
+ "single_word": false,
690
+ "special": true
691
+ },
692
+ "100342": {
693
+ "content": "<|dummy_78|>",
694
+ "lstrip": true,
695
+ "normalized": false,
696
+ "rstrip": true,
697
+ "single_word": false,
698
+ "special": true
699
+ },
700
+ "100343": {
701
+ "content": "<|dummy_79|>",
702
+ "lstrip": true,
703
+ "normalized": false,
704
+ "rstrip": true,
705
+ "single_word": false,
706
+ "special": true
707
+ },
708
+ "100344": {
709
+ "content": "<|dummy_80|>",
710
+ "lstrip": true,
711
+ "normalized": false,
712
+ "rstrip": true,
713
+ "single_word": false,
714
+ "special": true
715
+ },
716
+ "100345": {
717
+ "content": "<|dummy_81|>",
718
+ "lstrip": true,
719
+ "normalized": false,
720
+ "rstrip": true,
721
+ "single_word": false,
722
+ "special": true
723
+ },
724
+ "100346": {
725
+ "content": "<|dummy_82|>",
726
+ "lstrip": true,
727
+ "normalized": false,
728
+ "rstrip": true,
729
+ "single_word": false,
730
+ "special": true
731
+ },
732
+ "100347": {
733
+ "content": "<|dummy_83|>",
734
+ "lstrip": true,
735
+ "normalized": false,
736
+ "rstrip": true,
737
+ "single_word": false,
738
+ "special": true
739
+ },
740
+ "100348": {
741
+ "content": "<|dummy_84|>",
742
+ "lstrip": true,
743
+ "normalized": false,
744
+ "rstrip": true,
745
+ "single_word": false,
746
+ "special": true
747
+ },
748
+ "100349": {
749
+ "content": "<|dummy_85|>",
750
+ "lstrip": true,
751
+ "normalized": false,
752
+ "rstrip": true,
753
+ "single_word": false,
754
+ "special": true
755
+ },
756
+ "100350": {
757
+ "content": "<|dummy_86|>",
758
+ "lstrip": true,
759
+ "normalized": false,
760
+ "rstrip": true,
761
+ "single_word": false,
762
+ "special": true
763
+ },
764
+ "100351": {
765
+ "content": "<|dummy_87|>",
766
+ "lstrip": true,
767
+ "normalized": false,
768
+ "rstrip": true,
769
+ "single_word": false,
770
+ "special": true
771
+ }
772
+ },
773
+ "bos_token": "<|endoftext|>",
774
+ "chat_template": "{% for message in messages %}{% if (message['role'] == 'system') %}{{'<|im_start|>system<|im_sep|>' + message['content'] + '<|im_end|>'}}{% elif (message['role'] == 'user') %}{{'<|im_start|>user<|im_sep|>' + message['content'] + '<|im_end|>'}}{% elif (message['role'] == 'assistant') %}{{'<|im_start|>assistant<|im_sep|>' + message['content'] + '<|im_end|>'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant<|im_sep|>' }}{% endif %}",
775
+ "clean_up_tokenization_spaces": false,
776
+ "eos_token": "<|im_end|>",
777
+ "extra_special_tokens": {},
778
+ "model_max_length": 16384,
779
+ "pad_token": "<|dummy_85|>",
780
+ "tokenizer_class": "GPT2Tokenizer",
781
+ "unk_token": "<|endoftext|>"
782
+ }
vocab.json ADDED
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