JackFram / text-generation updated 2 years ago

llama-160m

Name: llama-160m
Author: JackFram

This is a LLaMA-like model with only 160M parameters trained on Wikipedia and part of the C4-en and C4-realnewslike datasets.

Params

160 M

Context

2,048

Downloads 30d

251 K

Likes

Commercial use: allowed apache-2.0 Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

267 K246 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	0.6 GB	1.2 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/llama-160m
{
  "hf_id": "JackFram/llama-160m",
  "params_b": 0.16,
  "context_length": 2048,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 251368,
  "vram_estimates": [
    { "quant": "f32", "gb": 1.2 }
  ],
  "updated_at": "2026-07-28T18:07:03Z"
}

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

Specifications

Architecture: LlamaForCausalLM
Parameters: 160 M
Tensor type: F32
Context length: 2,048
Vocabulary: 32,000
Layers / heads: 12 / 12
Licence: apache-2.0
First seen on the Hub: 2023-05-26
Training datasets: wikipedia
Added to our catalog: 2026-07-28

Compare with

gpt2 13.7 M Qwen2.5-0.5B-Instruct 6.6 M distilgpt2 2.6 M pythia-160m 2.5 M SmolLM2-135M-Instruct 2.0 M SmolLM2-135M 1.8 M

Appears in

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