hmellor / text-generation updated 1 year ago

Ilama-3.2-1B

Name: Ilama-3.2-1B
Author: hmellor

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

Params

1.2 B

Context

131,072

Downloads 30d

381 K

Likes

Licence: unknown Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

398 K367 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	f32	4.9 GB	6.1 GB	✅ Runs comfortably
model.safetensors (bf16, full)	bf16 + 128K ctx	4.9 GB	8.9 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/ilama-3-2-1b
{
  "hf_id": "hmellor/Ilama-3.2-1B",
  "params_b": 1.24,
  "context_length": 131072,
  "license": { "id": "", "commercial": "unknown" },
  "downloads_30d": 381239,
  "vram_estimates": [
    { "quant": "f32", "gb": 6.1 }
  ],
  "updated_at": "2026-07-28T18:05:49Z"
}

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

Specifications

Architecture: IlamaForCausalLM
Parameters: 1.2 B
Tensor type: F32
Context length: 131,072
Vocabulary: 128,256
Layers / heads: 16 / 32
First seen on the Hub: 2025-07-22
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Compare with

Qwen3-0.6B 29.7 M Qwen2.5-1.5B-Instruct 14.0 M Llama-3.2-1B-Instruct 10.4 M Qwen3-1.7B 7.8 M Qwen2.5-0.5B-Instruct 6.6 M gemma-3-1b-it 4.7 M

Appears in

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