chore(config): remove missing Qwen3.5-122B and Qwen3-VL-8B, promote gpt-oss-120b

This commit is contained in:
Hitonabi
2026-07-07 17:18:31 +02:00
parent edf1614e66
commit 6f77dbb9d9
+6 -25
View File
@@ -19,17 +19,6 @@ models:
out: [text] out: [text]
tools: true tools: true
context: 65536 context: 65536
Qwen3.5-122B-A10B:
cmd: |
llama-server -m /srv/models/Qwen3.5-122B-A10B-GGUF/Q4_K_M/Qwen3.5-122B-A10B-Q4_K_M-00001-of-00003.gguf --host 127.0.0.1 --port ${PORT} -c 32768 -ngl 999 -fa on --no-mmap --jinja --cache-reuse 256 -cram 16384
ttl: 600
aliases:
- heavy
capabilities:
in: [text]
out: [text]
tools: true
context: 32768
Qwen3-Coder-Next: Qwen3-Coder-Next:
cmd: | cmd: |
llama-server -m /srv/models/Qwen3-Coder-Next-GGUF/Qwen3-Coder-Next-Q4_K_M.gguf --host 127.0.0.1 --port ${PORT} -c 131072 -ngl 999 -fa on --no-mmap --jinja --cache-reuse 256 -cram 16384 llama-server -m /srv/models/Qwen3-Coder-Next-GGUF/Qwen3-Coder-Next-Q4_K_M.gguf --host 127.0.0.1 --port ${PORT} -c 131072 -ngl 999 -fa on --no-mmap --jinja --cache-reuse 256 -cram 16384
@@ -41,17 +30,6 @@ models:
out: [text] out: [text]
tools: true tools: true
context: 131072 context: 131072
Qwen3-VL-8B-Instruct:
cmd: |
llama-server -m /srv/models/Qwen3-VL-8B-Instruct-GGUF/Qwen3VL-8B-Instruct-Q4_K_M.gguf --host 127.0.0.1 --port ${PORT} -c 32768 -ngl 999 -fa on --no-mmap --mmproj /srv/models/Qwen3-VL-8B-Instruct-GGUF/mmproj-Qwen3VL-8B-Instruct-F16.gguf --jinja
# ttl 0 (03.07.): Mitglied des Immer-bereit-Sets — ein Selbstauslöser widerspräche dem UI-Versprechen.
ttl: 0
aliases:
- vision
capabilities:
in: [text, image]
out: [text]
context: 32768
Qwen3-Embedding-0.6B: Qwen3-Embedding-0.6B:
cmd: | cmd: |
llama-server -m /srv/models/Qwen3-Embedding-0.6B-GGUF/Qwen3-Embedding-0.6B-Q8_0.gguf --host 127.0.0.1 --port ${PORT} --embedding --pooling last -ngl 999 -fa on --no-mmap -c 8192 llama-server -m /srv/models/Qwen3-Embedding-0.6B-GGUF/Qwen3-Embedding-0.6B-Q8_0.gguf --host 127.0.0.1 --port ${PORT} --embedding --pooling last -ngl 999 -fa on --no-mmap -c 8192
@@ -70,11 +48,12 @@ models:
tools: true tools: true
context: 131072 context: 131072
gpt-oss-120b: gpt-oss-120b:
# heavy-Kandidat (Bench 02.07.: tg 54-55 t/s vs. Qwen3.5-122B 23,5 t/s = 2,3x, 60 statt # Wurde am 07.07. offiziell zum heavy Modell befördert.
# 73 GB). Noch OHNE heavy-Alias — erst Qualitaets-Check (deutsch/Reasoning), dann Entscheid.
cmd: | cmd: |
llama-server -m /srv/models/gpt-oss-120b-GGUF/gpt-oss-120b-mxfp4-00001-of-00003.gguf --host 127.0.0.1 --port ${PORT} -c 32768 -ngl 999 -fa on --no-mmap --jinja --cache-reuse 256 -cram 16384 llama-server -m /srv/models/gpt-oss-120b-GGUF/gpt-oss-120b-mxfp4-00001-of-00003.gguf --host 127.0.0.1 --port ${PORT} -c 32768 -ngl 999 -fa on --no-mmap --jinja --cache-reuse 256 -cram 16384
ttl: 600 ttl: 600
aliases:
- heavy
capabilities: capabilities:
in: [text] in: [text]
out: [text] out: [text]
@@ -87,6 +66,8 @@ models:
cmd: | cmd: |
llama-server -m /srv/models/Qwen3-VL-30B-A3B-Instruct-GGUF/Qwen3-VL-30B-A3B-Instruct-Q4_K_M.gguf --host 127.0.0.1 --port ${PORT} -c 32768 -ngl 999 -fa on --no-mmap --mmproj /srv/models/Qwen3-VL-30B-A3B-Instruct-GGUF/mmproj-F16.gguf --jinja llama-server -m /srv/models/Qwen3-VL-30B-A3B-Instruct-GGUF/Qwen3-VL-30B-A3B-Instruct-Q4_K_M.gguf --host 127.0.0.1 --port ${PORT} -c 32768 -ngl 999 -fa on --no-mmap --mmproj /srv/models/Qwen3-VL-30B-A3B-Instruct-GGUF/mmproj-F16.gguf --jinja
ttl: 0 ttl: 0
aliases:
- vision
capabilities: capabilities:
in: [text, image] in: [text, image]
out: [text] out: [text]
@@ -111,5 +92,5 @@ groups:
persistent: true persistent: true
members: members:
- Qwen3-Embedding-0.6B - Qwen3-Embedding-0.6B
- Qwen3-VL-8B-Instruct - Qwen3-VL-30B-A3B-Instruct
- Qwen3.6-35B-A3B - Qwen3.6-35B-A3B