Recipe

granite-4-2-8b-q5-k-m-rtx-3060-12gb-llama-cpp-tp1

granite-4-2-8b-q5-k-m-rtx-3060-12gb-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
0.1.2-dev (build 197, commit b062ba735)
Accelerators
1
Tensor parallel
1
Context tokens
4,096
Max concurrency
1
chat
unknown
reasoning
unknown
tools
unknown
vision
unknown

Hugging Face model card

Identity

https://huggingface.co/ibm-granite/granite-4.2-8b-GGUF
Repository
ibm-granite/granite-4.2-8b-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/cmt8zlca200ioli019ukksygh

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-quantize
  2. --imatrix
  3. imatrix-granite42-mixed.gguf
  4. --tensor-type-file
  5. tensor_types_G.txt
  6. bf16.gguf
  7. out.gguf
  8. Q4_K_S;
  9. bench:
  10. llama-bench
  11. -p
  12. 512
  13. -n
  14. 128
  15. -ngl
  16. 99
  17. -fa
  18. on
  19. -r
  20. 3
FlagValue
--imatriximatrix-granite42-mixed.gguf
--tensor-type-filetensor_types_G.txt
-p512
-n128
-ngl99
-faon
-r3

Measured speed

ConcurrencyContextPrefillDecodeTTFT msStatusSweep
14,0961,70852.5318observedgranite-4-2-8b-q5-k-m-rtx-3060-12gb-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-3060-12gb
id
granite-4-2-8b-q5-k-m-rtx-3060-12gb-llama-cpp-tp1
model instance id
ibm-granite-granite-4-2-8b-gguf--q5-k-m
recipe source
localmaxxing
schema version
local-ai-registry/v1
speed sweep ids
granite-4-2-8b-q5-k-m-rtx-3060-12gb-llama-cpp-tp1-sweep
status
candidate

capabilities

draft launch

accelerator backend
nvidia
arguments
-hf, ibm-granite/granite-4.2-8b-GGUF:Q5_K_M, --n-gpu-layers, 999, --host, 0.0.0.0, --port, 8080, -c, 4096
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
0.1.2-dev (build 197, commit b062ba735)

serving

max concurrency
1
max context tokens
4,096
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 · backend
cuda
localmaxxing · hardware label
RTX 3060
localmaxxing · notes
Custom mixed quant 'G-Q5': per-tensor map attn_q/k/output=Q5_K, attn_v=Q6_K, ffn_down=Q5_K, ffn_gate/up=Q4_K, token_embd=Q5_K, output=Q6_K, from bf16 with custom imatrix (~600K tokens wikitext-103 + local code). Measured vs official Q4_K_M same GPU/build: KLD vs bf16 0.0809 vs 0.1796 (-55%), same-top-p 91.2% vs 86.0%, tg128 52.53 vs 54.24 (-3%), pp512 1708, file 5.22 GiB. Near-Q5 accuracy at near-Q4 size/speed. r=3 medians.
localmaxxing · observed command
llama-quantize --imatrix imatrix-granite42-mixed.gguf --tensor-type-file tensor_types_G.txt bf16.gguf out.gguf Q4_K_S; bench: llama-bench -p 512 -n 128 -ngl 99 -fa on -r 3
localmaxxing · run id
cmt8zlca200ioli019ukksygh
localmaxxing · tokenized · arguments
llama-quantize, --imatrix, imatrix-granite42-mixed.gguf, --tensor-type-file, tensor_types_G.txt, bf16.gguf, out.gguf, Q4_K_S;, bench:, llama-bench, -p, 512, -n, 128, -ngl, 99, -fa, on, -r, 3
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/cmt8zlca200ioli019ukksygh