kaitchup / text-generation updated 2 years ago

Phi-3-mini-4k-instruct-gptq-4bit

Name: Phi-3-mini-4k-instruct-gptq-4bit
Author: kaitchup

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

Params

3.8 B

Context

4,096

Downloads 30d

185 K

Likes

Licence: unknown Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

186 K177 K

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	i32	2.3 GB	3.6 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/phi-3-mini-4k-instruct-gptq-4bit
{
  "hf_id": "kaitchup/Phi-3-mini-4k-instruct-gptq-4bit",
  "params_b": 3.82,
  "context_length": 4096,
  "license": { "id": "", "commercial": "unknown" },
  "downloads_30d": 185117,
  "vram_estimates": [
    { "quant": "i32", "gb": 3.6 }
  ],
  "updated_at": "2026-07-28T18:08:42Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: Phi3ForCausalLM
Parameters: 3.8 B
Tensor type: I32
Context length: 4,096
Vocabulary: 32,064
Layers / heads: 32 / 32
First seen on the Hub: 2024-04-25
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Compare with

Qwen3-8B 16.3 M Qwen2.5-1.5B-Instruct 14.0 M Qwen2.5-7B-Instruct 12.1 M Qwen3-1.7B 7.8 M Qwen2.5-3B-Instruct 6.0 M Qwen3-4B 4.6 M

Appears in

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