Model
Model explorer
Comma v0.1-2T
OPENEleutherAI · Comma family · released Jun 6, 2025
7B model trained for 2T tokens (1.93T main phase + 75.5B cool-down) entirely on the openly-licensed/public-domain 'Common Pile v0.1' dataset (8TB), demonstrating that legally clean training data can rival models trained on unlicensed web text; a 1T-token sibling checkpoint (comma-v0.1-1t) was released alongside it.
ReasoningCodingVisionFunction callingTool useAgentic
-71.4
Elo · rank #410
Parameters
7B
Active params
7B (dense)
Context
4K tokens
Architecture
Dense decoder-only transformer, Llama 3 architecture, 7B, trained with 4096-token sequences
License
Apache 2.0
Languages
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API price (in/out)
No hosted API
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
best: Llama 3.1 405B · 96.9%
best: Phi-3-medium (14B) · 97.7%
best: Claude 3 Opus · 95.4%
best: Claude Opus 4.5 · 99.4%
best: Llama-3.3-Nemotron-Super-49B v1 (Reasoning On) · 91.3%
best: OpenAI o3 · 92.9%
best: Claude 1 · 90.8%
best: GPT-4o mini · 93.1%
best: Apple DCLM-Baseline 7B · 82.9%
Run it locally
VRAM @ Q4
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VRAM @ FP16
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Fits on (Q4)
Multi-node cluster required
Throughput data unavailable.
Quantizations
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API price weights · each benchmark row carries its own source badge (see methodology)