zeta-2.1-autoround-W4A16
This model is a int4 weight-only quantization with groupsize 128 and symmetric quantization of zed-industries/zeta-2.1 generated by AutoRound. Please follow the license of the original model.
Params
2.2 B
Context
32,768
Downloads 30d
427 K
Likes
0
Download history
daily snapshots · 14 days427 K197 K
Sep 7Sep 11Sep 16Sep 20
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 | bf16 | 6.2 GB | 7.6 GB | ✅ Runs comfortably |
| model.safetensors (bf16, full) | bf16 + 32K ctx | 6.2 GB | 8.6 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 -s https://aimodelscomparison.com/api/v1/models/zeta-2-1-autoround-w4a16
{
"hf_id": "LeaderboardModel1/zeta-2.1-autoround-W4A16",
"params_b": 2.20,
"context_length": 32768,
"license": { "id": "", "commercial": "unknown" },
"downloads_30d": 427115,
"vram_estimates": [
{ "quant": "bf16", "gb": 7.6 }
],
"updated_at": "2026-09-07T01:00:23Z"
}
Specifications
- Architecture
- LlamaForCausalLM
- Parameters
- 2.2 B
- Tensor type
- BF16
- Context length
- 32,768
- Vocabulary
- 155,136
- Layers / heads
- 32 / 32
- First seen on the Hub
- 2026-05-21
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-07
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