Model
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Comma v0.1-2T

OPEN
EleutherAI · 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
API price (in/out)
No hosted API
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
ARC-ChallengeReasoning45.8%#134
best: Llama 3.1 405B · 96.9%
ARC-EasyReasoning71.8%#44
best: Phi-3-medium (14B) · 97.7%
HellaSwagReasoning64.4%#136
best: Claude 3 Opus · 95.4%
HumanEvalCoding44.2%#133
best: Claude Opus 4.5 · 99.4%
MBPPCoding41.5%#81
best: Llama-3.3-Nemotron-Super-49B v1 (Reasoning On) · 91.3%
MMLUKnowledge49.8%#232
best: OpenAI o3 · 92.9%
OpenBookQAReasoning46.2%#34
best: Claude 1 · 90.8%
PIQAReasoning72.5%#73
best: GPT-4o mini · 93.1%
Social IQaReasoning52.3%#19
best: Apple DCLM-Baseline 7B · 82.9%
Run it locally
VRAM @ Q4
VRAM @ FP16
Fits on (Q4)
Multi-node cluster required
Throughput data unavailable.
Quantizations
Comma family
Elo progression across releases
API price weights · each benchmark row carries its own source badge (see methodology)