L3.3-70B-Euryale-v2.3
A direct replacement / successor to Euryale v2.2, not Hanami-x1, though it is slightly better than them in my opinion.
Params
70.6 B
Context
131,072
Downloads 30d
981
Likes
115
Download history
daily snapshots · 22 days1 K968
Oct 20Oct 27Nov 3Nov 10
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 | 141.1 GB | 166.3 GB | ❌ Won’t fit |
| model.safetensors (bf16, full) | bf16 + 128K ctx | 141.1 GB | 325.0 GB | ❌ Won’t fit |
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/l3-3-70b-euryale-v2-3
{
"hf_id": "Sao10K/L3.3-70B-Euryale-v2.3",
"params_b": 70.55,
"context_length": 131072,
"license": { "id": "llama3", "commercial": "conditional" },
"downloads_30d": 981,
"vram_estimates": [
{ "quant": "bf16", "gb": 166.3 }
],
"updated_at": "2026-10-19T06:01:24Z"
}
Use via API
via OpenRouter · USD per 1M tokens · synced 2026-10-19$0.65
input / 1M
$0.75
output / 1M
—
cached input / 1M
$1.40
1M in + 1M out
- Context window
- 131,072 tokens
- Max output
- 16,384 tokens
- Providers
- —
- Cheapest provider
- —
- Best throughput
- —
- AA Intelligence / Coding / Agentic
- — / — / —
✗ Tool calling
✗ Reasoning
✓ Structured outputs
✗ Image input
✗ File input
✗ Audio input
✗ Prompt caching
Specifications
- Architecture
- LlamaForCausalLM
- Parameters
- 70.6 B
- Tensor type
- BF16
- Context length
- 131,072
- Vocabulary
- 128,256
- Layers / heads
- 80 / 64
- Licence
- llama3
- First seen on the Hub
- 2024-12-07
- Base model
- Llama-3.3-70B-Instruct
- Training datasets
- undisclosed
- Added to our catalog
- 2026-10-20
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-generation model