turboderp
turboderp
AI & ML interests
All the things
Recent Activity
new activity about 14 hours ago
turboderp/Qwen3.8-Flash-Next-exl3:Self calibrated quants updated a model about 14 hours ago
turboderp/Qwen3.8-Flash-Next-exl3 updated a model 3 days ago
turboderp/GLM-5.3-Flash-exl3Organizations
Self calibrated quants
➕👍 5
3
#14 opened 22 days ago
by
Pedromontesano
Update README.md
#2 opened 3 days ago
by
turboderp
Update README.md
#1 opened 4 days ago
by
turboderp
ngram at bf16?
➕ 1
6
#12 opened about 1 month ago
by
nnnig
cant make Vision working
3
#1 opened about 1 month ago
by
bofff
"All GPUs must be ampere (30 series) or newer."
1
#8 opened about 1 month ago
by
laserbeans
Missing vision weights from 2/3/5/6-bit quants?
4
#9 opened about 1 month ago
by
HermiHg
The quantized vision tower is excellent
1
#10 opened about 1 month ago
by
HermiHg
4.05bpw thinking in other languages and/or gibberish
👀 1
5
#5 opened about 2 months ago
by
khronnuz
reasoning content not split on Qwen3.8-Flash-Next EXL3 — thinking stays inline in content
3
#4 opened about 2 months ago
by
khronnuz
Does this support ngram nvme offloading for people with 32GB system RAM?
4
#3 opened about 2 months ago
by
LukeC110
UD_Q4_XL benchmarks ?
1
#1 opened about 2 months ago
by
s1arsky
Question about Calibration Traces
4
#3 opened about 2 months ago
by
Interpause
Add recipe.yaml artifacts.
1
#7 opened about 2 months ago
by
cloover
Is there a docker way?
2
#6 opened about 2 months ago
by
JohnJ990
I love you + self calibrated 6 bit?
➕ 3
1
#4 opened about 2 months ago
by
Gaboo
Thank you for your work
👍 8
6
#1 opened 2 months ago
by
vonamakitsune
Making sense of the graph
👍❤️ 2
1
#2 opened 2 months ago
by
spanspek