Qwen3.8-27B TTURBO 709 Uncensored - BF16 GGUF
APEX Quantization Series by IsValorum
[!IMPORTANT] Independently computed using dedicated cloud compute clusters, funded 100% out-of-pocket.
If you consider this release useful, consider supporting on Ko-fi. Every contribution directly sustains future cloud compute hours and helps support my university studies.
[!NOTE] MTP included: the 15 tensors in
blk.64.*are part of this BF16 GGUF. There is no separate draft file.
Base model
DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored(Apache-2.0)- This is the BF16 reference for the DAU TTURBO 709 Uncensored release, converted from the original safetensors with llama.cpp master.
- The DAU chat template is embedded in the GGUF and is also provided as
chat_template.jinja.
Files
| File | Size | Notes |
|---|---|---|
Qwen3.8-27B-TTURBO-709-Uncen-BF16.gguf |
54,657,743,648 bytes (54.66 GB / 50.90 GiB) | BF16 GGUF, 866 text + MTP tensors |
chat_template.jinja |
17,121 bytes | DAU reasoning/instruct template |
The vision projector is the original mmproj-BF16.gguf from the base GGUF repository.
SHA256
d2932275ad1a4316f482967b1cde41a5e5461b12965b4f558ba91eab1095c36f
Usage
llama-cli \
-m Qwen3.8-27B-TTURBO-709-Uncen-BF16.gguf \
-p "Explain why the sky is blue in one paragraph." \
-ngl 99 -c 32768 -t 8
llama-server \
-m Qwen3.8-27B-TTURBO-709-Uncen-BF16.gguf \
--mmproj mmproj-BF16.gguf \
--jinja -ngl 99 -c 32768
Use this BF16 file as the reference. The MiniPlus and NanoPlus V3 tiers are the deployment builds.
Limitations
- Raw BF16 reference, not a quantized tier.
- Base model benchmarks are self-reported by DavidAU.
- Vision and MTP were not independently evaluated in this archive.
License
Apache-2.0, inherited from the base model. See the base model card for the original terms.