Recipe

gemma-4-e4b-it-qat-q4-0-unquantized-q4-0-rtx-3060-ti-8gb-llama-cpp-tp1

gemma-4-e4b-it-qat-q4-0-unquantized-q4-0-rtx-3060-ti-8gb-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
b9653 / 9dbc6621a
Accelerators
1
Tensor parallel
1
Context tokens
2,048
Max concurrency
2,048
chat
unknown
reasoning
unknown
tools
unknown
vision
unknown

Hugging Face model card

Identity

https://huggingface.co/google/gemma-4-E4B-it-qat-q4_0-gguf
Repository
google/gemma-4-E4B-it-qat-q4_0-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/cmqflwtsg00c5mt01bxdtynxa

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-bench
  2. -hf
  3. google/gemma-4-E4B-it-qat-q4_0-gguf
  4. -hff
  5. gemma-4-E4B_q4_0-it.gguf
  6. -ngl
  7. 99
  8. -p
  9. 512
  10. -n
  11. 128
  12. -r
  13. 10
  14. -o
  15. md
FlagValue
-hfgoogle/gemma-4-E4B-it-qat-q4_0-gguf
-hffgemma-4-E4B_q4_0-it.gguf
-ngl99
-p512
-n128
-r10
-omd

Measured speed

ConcurrencyContextPrefillDecodeTTFT msStatusSweep
20482,0482,680.684observedgemma-4-e4b-it-qat-q4-0-unquantized-q4-0-rtx-3060-ti-8gb-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-ti-8gb
id
gemma-4-e4b-it-qat-q4-0-unquantized-q4-0-rtx-3060-ti-8gb-llama-cpp-tp1
model instance id
google-gemma-4-e4b-it-qat-q4-0-gguf--q4-0
recipe source
localmaxxing
schema version
local-ai-registry/v1
speed sweep ids
gemma-4-e4b-it-qat-q4-0-unquantized-q4-0-rtx-3060-ti-8gb-llama-cpp-tp1-sweep
status
candidate

capabilities

draft launch

accelerator backend
nvidia
arguments
-hf, google/gemma-4-E4B-it-qat-q4_0-gguf:Q4_0, --n-gpu-layers, 999, --host, 0.0.0.0, --port, 8080, -c, 2048
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
b9653 / 9dbc6621a

serving

max concurrency
2,048
max context tokens
2,048
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 Ti
localmaxxing · notes
llama.cpp b9653 CUDA backend on Windows 10, RTX 3060 Ti 8GB. User requested google/gemma-4-E4B; llama.cpp requires GGUF, so this run used Google's official GGUF repo google/gemma-4-E4B-it-qat-q4_0-gguf with file gemma-4-E4B_q4_0-it.gguf. Q4_0 quantization, all layers offloaded with -ngl 99. Benchmark used -p 512 -n 128 -r 10 and llama-bench defaults unless specified: context 2048, batch 2048, ubatch 512, flash-attn auto, mmap enabled. TTFT and peak VRAM were not measured. Initial Hugging Face cache symlink warning on Windows was harmless; inference completed normally with CUDA.
localmaxxing · observed command
llama-bench -hf google/gemma-4-E4B-it-qat-q4_0-gguf -hff gemma-4-E4B_q4_0-it.gguf -ngl 99 -p 512 -n 128 -r 10 -o md
localmaxxing · run id
cmqflwtsg00c5mt01bxdtynxa
localmaxxing · tokenized · arguments
llama-bench, -hf, google/gemma-4-E4B-it-qat-q4_0-gguf, -hff, gemma-4-E4B_q4_0-it.gguf, -ngl, 99, -p, 512, -n, 128, -r, 10, -o, md
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/cmqflwtsg00c5mt01bxdtynxa