Recipe

ornith-1-5-9b-gguf-q6-k-rtx-3080-10gb-llama-cpp-tp1

ornith-1-5-9b-gguf-q6-k-rtx-3080-10gb-llama-cpp-tp1

Observed LocalMaxxing leaderboard run. Evidence for compatibility, not an executable launch contract.

Record

Status
candidate
Source
localmaxxing
Engine
llama.cpp
Engine version
b10472
Accelerators
1
Tensor parallel
1
Context tokens
131,072
Max concurrency
1
chat
unknown
reasoning
unknown
tools
unknown
vision
unknown

Hugging Face model card

Identity

https://huggingface.co/ornith-ai/Ornith-1.5-9B-GGUF
Repository
ornith-ai/Ornith-1.5-9B-GGUF
Status
known
Link type
Exact Hub repository

Public Hugging Face repository confirmed by the Hub API.

Candidate: useful compatibility or speed evidence. The registry does not offer Run until promotion requirements are met.

Observed configuration

llama.cpp

Evidence only · candidate · reference

Candidate evidence — not a Run contract

Source
https://www.localmaxxing.com/en/runs/cmt0nl2j30f22ms019spiygf2

Observed source tokens

Mechanical split of the source command. Unverified against the engine CLI. The registry does not offer Run for this recipe.

  1. llama-server
  2. -m
  3. Ornith-1.5-9B-Q6_K.gguf
  4. --host
  5. 127.0.0.1
  6. --port
  7. 8099
  8. --device
  9. CUDA0
  10. --n-gpu-layers
  11. 99
  12. --ctx-size
  13. 131072
  14. --flash-attn
  15. on
  16. --cache-type-k
  17. q4_0
  18. --cache-type-v
  19. q4_0
  20. --parallel
  21. 1
  22. --jinja
  23. --spec-type
  24. none
FlagValue
-mOrnith-1.5-9B-Q6_K.gguf
--host127.0.0.1
--port8099
--deviceCUDA0
--n-gpu-layers99
--ctx-size131072
--flash-attnon
--cache-type-kq4_0
--cache-type-vq4_0
--parallel1
--spec-typenone

Measured speed

ConcurrencyContextPrefillDecodeTTFT msStatusSweep
1131,0723,397.482.8799.9observedornith-1-5-9b-gguf-q6-k-rtx-3080-10gb-llama-cpp-tp1-sweep

Remaining fields

Identity, launch, related records, and measured speed are shown above. This is the rest of the normalized record.

hardware count
1
hardware id
rtx-3080-10gb
id
ornith-1-5-9b-gguf-q6-k-rtx-3080-10gb-llama-cpp-tp1
model instance id
ornith-ai-ornith-1-5-9b-gguf--q6-k
recipe source
localmaxxing
schema version
local-ai-registry/v1
speed sweep ids
ornith-1-5-9b-gguf-q6-k-rtx-3080-10gb-llama-cpp-tp1-sweep
status
candidate

capabilities

draft launch

accelerator backend
nvidia
arguments
-hf, ornith-ai/Ornith-1.5-9B-GGUF:Q6_K, --n-gpu-layers, 999, --host, 0.0.0.0, --port, 8080, -c, 131072
container port
8,080
environment · LLAMA CACHE
/root/.cache/huggingface
host port
8,080
image
ghcr.io/ggml-org/llama.cpp:server-cuda12-b10481@sha256:b2497f8834f5ecb4e38530f6bf2734b8e0be107f0f0857e259672d1cb85b71c2
ipc
host
kind
docker
shm size
16g
synthesized · generated at
2026-08-31T22:12:17Z
synthesized · image provenance
gemma-4-12b-q4-k-m-rtx-3060-12gb-llama-cpp-tp1
synthesized · template
llama-cpp-server-v1

mounts

read onlytarget
No/root/.cache/huggingface

engine

name
llama.cpp
version
b10472

serving

max concurrency
1
max context tokens
131,072
tensor parallel
1
Provenance & metadata (3)

facts

capabilities.chat · provenance · captured at
2026-08-30T09:10:02Z
capabilities.chat · reason capability-not-verified
capabilities.chat · state unknown
capabilities.reasoning · provenance · captured at
2026-08-30T09:10:02Z
capabilities.reasoning · reason capability-not-verified
capabilities.reasoning · state unknown
capabilities.tools · provenance · captured at
2026-08-30T09:10:02Z
capabilities.tools · reason capability-not-verified
capabilities.tools · state unknown
capabilities.vision · provenance · captured at
2026-08-30T09:10:02Z
capabilities.vision · reason capability-not-verified
capabilities.vision · state unknown
engine.graph mode · provenance · captured at
2026-08-30T09:10:02Z
engine.graph mode · reason runtime-detail-not-published
engine.graph mode · state unknown
serving.kv cache tokens · provenance · captured at
2026-08-30T09:10:02Z
serving.kv cache tokens · reason kv-cache-capacity-not-published
serving.kv cache tokens · state unknown

metadata

localmaxxing · hardware label
RTX 3080
localmaxxing · notes
Companion to the Q5_K_M entry for the same model, to show the quant-vs-context trade on a 10GB card. Q6_K CANNOT hold this model's full 262144 native context here: at 262K it reports 1306 MiB host-shared and decode halves to 42 tok/s. 131072 is a comfortably resident config for Q6_K (8668 MiB peak, 224 MiB host-shared); the measured resident ceiling for Q6_K is about 177K. Q5_K_M reaches the full 262K at 92 tok/s, so on this card Q5_K_M strictly dominates: more context AND faster, because smaller weights mean less memory bandwidth per token. On quality the two are a wash in aggregate over a 40-item slice (GSM8K 19/20 vs 18/20, HumanEval+ 19/20 vs 19/20) but they disagree on 5 of those 40 items, so this is 'no measurable net difference at n=40', not 'identical'. KV cost measured at 14.0 KiB/token at q4_0. Decode is the median of 3 reps. Non-repetitive prompt; ignore_eos set.
localmaxxing · observed command
llama-server \ -m Ornith-1.5-9B-Q6_K.gguf \ --host 127.0.0.1 \ --port 8099 \ --device CUDA0 \ --n-gpu-layers 99 \ --ctx-size 131072 \ --flash-attn on \ --cache-type-k q4_0 \ --cache-type-v q4_0 \ --parallel 1 \ --jinja \ --spec-type none
localmaxxing · run id
cmt0nl2j30f22ms019spiygf2
localmaxxing · tokenized · arguments
llama-server, -m, Ornith-1.5-9B-Q6_K.gguf, --host, 127.0.0.1, --port, 8099, --device, CUDA0, --n-gpu-layers, 99, --ctx-size, 131072, --flash-attn, on, --cache-type-k, q4_0, --cache-type-v, q4_0, --parallel, 1, --jinja, --spec-type, none
localmaxxing · tokenized · fidelity
faithful

provenance

captured at
2026-08-30T09:10:02Z

sources

captured atkindurl
2026-08-30T09:10:02Znormalized-recipewww.localmaxxing.com/en/runs/cmt0nl2j30f22ms019spiygf2