The adjacent assets/nimbus-family-footprint.json contains the plotted values. Download size is not runtime memory: context cache and runtime buffers require additional capacity.
Validated release runtime: llama.cpp b10007. Native thinking uses the supplied Qwen/Ornith chat template and DeepSeek-style reasoning parsing.
llama-server --model Nimbus-9B-v2.1-Q5_K_M.gguf --ctx-size 65536 --n-gpu-layers all --reasoning-format deepseek
Evaluation
The released Q5_K_M artifact was evaluated with llama.cpp b10007 on Vulkan, native thinking, one answer per task, temperature 0.6, top-p 0.95, top-k 20, seed 42, and the official network-disabled EvalPlus scorer. The base run allowed 32,768 completion tokens. Each original length-plus-empty nonresponse received exactly one preserved 60,000-token recovery attempt; there was no repeated resampling.
Benchmark
Passed
Total
pass@1
HumanEval
146
164
89.0%
HumanEval+
135
164
82.3%
MBPP
330
378
87.3%
MBPP+
277
378
73.3%
Three HumanEval and seven MBPP truncations recovered at the larger limit. Two HumanEval and three MBPP nonresponses remained zero-valued. “Plus” uses EvalPlus' official base-and-plus pass condition.
Nimbus-9B v2.1 EvalPlus results
The adjacent assets/nimbus-9b-v2.1-evalplus.json is the machine-readable source for this chart.
Release landscape
This is a capability and packaging comparison, not a cross-model score claim. Other publishers' benchmarks use different harnesses, prompts, inference budgets, and hardware, so they are not mixed into the Nimbus EvalPlus chart.
Release
Parameters
Modality
Published context
Positioning
Nimbus-9B v2.1
9B
Multimodal Transformers; text-only GGUF
262,144 validated for this release
Local coding/reasoning; BF16, Q4_K_M, Q5_K_M with checksums
General instruction, code, function calling, and RAG
Nimbus-9B v2.1 inherits its architecture and foundation capabilities from Qwen3.5 through Ornith. Nimbus' contribution is the post-training, release packaging, quantization, and exact evaluation reported above—not authorship of the foundation model.
