Model
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DeciLM-7B

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Deci AI · DeciLM family · released Dec 12, 2023

AutoNAC-searched variable-GQA 7B; billed as the fastest and most accurate 7B base LLM at launch (up to 4.4x Mistral-7B throughput).

ReasoningCodingVisionFunction callingTool useAgentic
245.3
Elo · rank #356
Parameters
7.04B
Active params
7.04B (dense)
Context
8K tokens
Architecture
AutoNAC (NAS)-designed dense transformer with variable per-layer Grouped-Query Attention
License
Apache 2.0
Languages
API price (in/out)
No hosted API
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
ARC-ChallengeReasoning59.4%#95
best: Llama 3.1 405B · 96.9%
GSM8KMath47.4%#135
best: Llama 3.1 405B · 96.8%
HellaSwagReasoning82.5%#63
best: Claude 3 Opus · 95.4%
MMLUKnowledge59.8%#207
best: OpenAI o3 · 92.9%
TruthfulQAKnowledge40.3%#79
best: Phi-3.5-MoE (16x3.8B, 6.6B active) · 77.5%
WinoGrandeReasoning80.0%#38
best: PaLM 2 · 90.9%
Run it locally
VRAM @ Q4
5 GB
VRAM @ FP16
14 GB
Fits on (Q4)
RTX 3060 12GBRTX 4070 Ti 16GBRTX 3090 24GBRTX 4090 24GBRTX 5090 32GBM4 Pro 48GBM3 Max 128GBM3 Ultra 512GBA100 80GBH100 80GBH200 141GBB200 192GB
Vendor reports 1,174 tok/s on A100 with PyTorch — not an RTX 4090 llama.cpp measurement
Quantizations
GGUF Q4 · GGUF INT8
DeciLM family
Elo progression across releases
API price weights · each benchmark row carries its own source badge (see methodology)