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Microsoft Launches the Small Multimodal AI Model Phi-4: The Perfect Combination of Thinking and Perception!

Microsoft releases the open-source AI model Phi-4-Reasoning-Vision-15B, which has high-resolution visual perception and deep reasoning capabilities. It is the first small language model that achieves both 'clear vision' and 'deep thinking,' opening up new intelligent application scenarios for developers.

9.9k 4 days ago

Capable of Deciding When to Think on Its Own! Microsoft Releases Phi-4 15B Open-Source Model, Focused on Miniaturization and Multimodal Capabilities

Microsoft releases the open-source multimodal large model Phi-4-reasoning-vision-15B, which has 15 billion parameters. Its core breakthrough is the ability to autonomously assess task difficulty and intelligently choose between rapid response or in-depth reasoning, a rare feature in lightweight open-source models. The model specializes in high-difficulty tasks such as image description, interface element localization, and complex mathematical reasoning.

10.6k 1 days ago

AI Daily: xAI Shockingly Launches Grok4; Microsoft Opensources New Phi-4-mini Version; Shanghai has Cumulatively 82 Large Models Passed Filing

1. xAI launches Grok4 with enhanced math/coding capabilities; 2. Microsoft open-sources efficient Phi-4-mini for edge devices; 3. Shanghai approves 82 specialized AI models; 4. Hugging Face releases Reachy Mini robot; 5. Perplexity debuts Comet AI browser; 6. OpenAI plans first open-weight model; 7. Google releases GPU-friendly MedGemma; 8. OpenAI acquires AI hardware firm for $6.5B.....

6.2k 1 days ago

AI Daily: xAI Shockingly Launches Grok4; Microsoft Opensources New Phi-4-mini Version; Shanghai has Cumulatively 82 Large Models Passed Filing

Microsoft Launches New Phi-4-mini Version: Inference Efficiency Improved by 10 Times, Easily Compatible with Laptops

Microsoft open-sources the Phi-4-mini-flash-reasoning model, specifically designed for edge devices, with inference efficiency improved by 10 times. It uses an innovative SambaY architecture to achieve efficient memory sharing, showing outstanding performance in long text generation and mathematical reasoning. Benchmark tests show its excellent long context understanding ability, with a Phonebook task accuracy rate of 78.13%. This model is suitable for educational and research fields and can run on a single GPU.

4.6k 1 days ago

Microsoft Launches New Phi-4-mini Version: Inference Efficiency Improved by 10 Times, Easily Compatible with Laptops

AI Products

Phi-4-mini-instruct

Phi-4-mini-instruct is a lightweight, open-source language model focused on high-quality, inference-intensive data.

AI model

10k

Phi-4-multimodal-instruct

Phi-4-multimodal-instruct is a lightweight, multimodal foundational model developed by Microsoft, supporting text, image, and audio inputs.

AI model

9.2k

Phi-4

Microsoft's latest small language model focused on complex reasoning.

AI model

13.1k

Models

Gpt Oss 120b Distill Phi 4 14B GGUF

Jackrong

A three-stage training GRPO inference test model based on the microsoft/phi-4 (14B) base model, fine-tuned through the SFT→RLHF→SFT process, with excellent multi-step reasoning ability

Natural Language Processing

TransformersMultiple Languages

Jackrong

1.2k

Phi 4 Mini Instruct Q4_K_M GGUF

s0mecode

The GGUF format conversion version of Phi-4-mini-instruct, supporting multilingual text generation tasks.

Natural Language Processing

TransformersMultiple Languages

s0mecode

103

Phi 4 Mini Instruct GPTQ 8bit

iqbalamo93

Phi-4-mini-instruct is a lightweight open model built on synthetic data and curated public web data, focusing on high-quality, inference-rich data. This model supports a context length of 128K tokens, and has undergone supervised fine-tuning and direct preference optimization, with precise instruction-following capabilities and strong security measures.

Natural Language Processing

TransformersMultiple Languages

iqbalamo93

114.8k

Phi 4 Mini Reasoning GGUF

Mungert

Phi-4-mini-reasoning is a lightweight open model built on synthetic data, focusing on high-quality, reasoning-rich data, and further fine-tuned for more advanced mathematical reasoning capabilities.

Natural Language Processing

TransformersMultiple Languages

Mungert

3.6k

Phi 4 Reasoning Plus GGUF

Mungert

Phi-4-reasoning-plus GGUF is a high-performance inference model fine-tuned based on Phi-4. It adopts advanced quantization technology and supports various tasks such as natural language processing, mathematical reasoning, and code generation. This model has significant innovations in ultra-low bit quantization and can provide flexible deployment solutions under different hardware conditions.

Natural Language Processing

TransformersMultiple Languages

Mungert

694

Phi 4 Reasoning Plus MLX 4bit

lmstudio-community

An MLX 4-bit quantized version converted from the microsoft/Phi-4-reasoning-plus model, optimized for Apple Silicon, with high-performance in multiple fields such as natural language processing, mathematical reasoning, code generation, and dialogue.

Natural Language Processing Mlx

MlxMultiple Languages

lmstudio-community

67k

Phi 4 Mini Reasoning MLX 4bit

lmstudio-community

This is a 4-bit quantized version in MLX format converted from the Microsoft Phi-4-mini-reasoning model, suitable for text generation tasks.

Natural Language Processing Mlx

MlxMultiple Languages

lmstudio-community

72.2k

Phi 4 Mm Inst Asr Singlish

mjwong

A multimodal speech recognition model optimized for Singapore English, fine-tuned based on Microsoft's Phi-4 multimodal instruction model, significantly improving recognition of Singapore English's unique phonetic features.

Multimodal

TransformersMultiple Languages

mjwong

Phi 4 Reasoning Unsloth Bnb 4bit

unsloth

Phi-4-reasoning is an advanced reasoning model developed by Microsoft, fine-tuned based on Phi-4, focusing on improving reasoning abilities in fields such as mathematics, science, and coding.

Natural Language Processing

TransformersMultiple Languages

unsloth

Phi 4 Reasoning GGUF

unsloth

Phi-4-reasoning is an advanced reasoning model fine-tuned based on Phi-4. Through supervised fine-tuning and reinforcement learning, it demonstrates excellent reasoning abilities in fields such as mathematics, science, and coding.

Natural Language Processing

TransformersMultiple Languages

unsloth

Phi 4 Reasoning Plus Unsloth Bnb 4bit

unsloth

Phi-4-reasoning-plus is the most advanced open-weight reasoning model fine-tuned by Microsoft based on Phi-4, focusing on advanced reasoning abilities in the fields of mathematics, science, and coding.

Natural Language Processing

TransformersMultiple Languages

unsloth

3.5k

Phi 4 Reasoning Plus

unsloth

Phi-4 Reasoning Enhanced is a 14-billion parameter open-source reasoning model developed by Microsoft Research, optimized through supervised fine-tuning and reinforcement learning, focusing on advanced reasoning capabilities in mathematics, science, and programming fields.

Natural Language Processing

TransformersMultiple Languages

unsloth

189

Phi 4 Reasoning Plus GGUF

unsloth

Phi-4-reasoning-plus is an open-source reasoning model developed by Microsoft Research, focusing on advanced reasoning capabilities in mathematics, science, and programming fields.

Natural Language Processing Gguf

GgufMultiple Languages

unsloth

109.6k

Phi 4 Mini Reasoning Unsloth Bnb 4bit

unsloth

Phi-4-mini-reasoning is a lightweight open-source model focused on mathematical reasoning, supporting a context length of 128K tokens and suitable for environments with limited computing resources.

Natural Language Processing

TransformersMultiple Languages

unsloth

2.3k

Phi 4 Mini Reasoning GGUF

unsloth

Phi-4-mini-reasoning is a lightweight open model based on synthetic data, focusing on high-quality, dense reasoning data, and further fine-tuned to enhance mathematical reasoning capabilities.

Natural Language Processing Gguf

GgufMultiple Languages

unsloth

21.7k

Phi 4 Mini Reasoning

unsloth

Phi-4-mini-reasoning is a lightweight open-source model focused on mathematical reasoning tasks, supporting a context length of 128K tokens.

Natural Language Processing

TransformersMultiple Languages

unsloth

591

Phi 4 Reasoning Plus GGUF

lmstudio-community

Phi-4-reasoning-plus is a large language model developed by Microsoft with enhanced reasoning capabilities, specifically optimized for complex mathematical problems and multi-step reasoning tasks.

Natural Language Processing Gguf

GgufMultiple Languages

lmstudio-community

5.2k

Microsoft_Phi 4 Reasoning Plus GGUF

bartowski

The quantized version of Microsoft Phi-4-reasoning-plus, suitable for efficient text generation tasks on devices with limited resources.

Natural Language Processing Gguf

GgufMultiple Languages

bartowski

1.5k

Microsoft_Phi 4 Reasoning GGUF

bartowski

This is a quantized version of Microsoft's Phi-4-reasoning model, optimized using llama.cpp for inference tasks and supporting multiple quantization options.

Natural Language Processing Gguf

GgufMultiple Languages

bartowski

5.4k

Phi 4 Mini Reasoning

microsoft

Phi-4-mini-reasoning is a lightweight open-source model that focuses on high-quality, dense reasoning data and is further fine-tuned to obtain more advanced mathematical reasoning capabilities.

Natural Language Processing

TransformersMultiple Languages

microsoft

18.9k

152

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