Qwen3-8B-64k-Context-2X-Josiefied-Uncensored
This repo contains the full precision source code, in "safe tensors" format to generate GGUFs, GPTQ, EXL2, AWQ, HQQ and other formats. The source code can also be used directly.
Params
8.2 B
Context
65,536
Downloads 30d
265 K
Likes
22
Download history
daily snapshots · 17 days292 K193 K
Oct 8Oct 13Oct 19Oct 24
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 | 16.4 GB | 19.7 GB | ⚠️ Tight — reduce context |
| model.safetensors (bf16, full) | bf16 + 64K ctx | 16.4 GB | 28.3 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/qwen3-8b-64k-context-2x-josiefied-uncensored
{
"hf_id": "DavidAU/Qwen3-8B-64k-Context-2X-Josiefied-Uncensored",
"params_b": 8.19,
"context_length": 65536,
"license": { "id": "", "commercial": "unknown" },
"downloads_30d": 265260,
"vram_estimates": [
{ "quant": "bf16", "gb": 19.7 }
],
"updated_at": "2026-10-08T01:00:18Z"
}
Specifications
- Architecture
- Qwen3ForCausalLM
- Parameters
- 8.2 B
- Tensor type
- BF16
- Context length
- 65,536
- Vocabulary
- 151,936
- Layers / heads
- 36 / 32
- First seen on the Hub
- 2025-05-06
- Training datasets
- undisclosed
- Added to our catalog
- 2026-10-08
Compare with any text-generation model