Architecture
data/models.yaml. Every label is auditable
against the model's sources.
Specs
- Architecture
- dense
- Total params
- 70B
- Active params
- 70B
- Context window
- not verified
- Attention
- gqa
- Position encoding
- rope-llama3
- Post-training
- sft, dpo, rlvr
- OSI-approved
- no
- Data released
- yes
- Training code
- released
Benchmarks
Each score carries the date it was published; we never infer or interpolate missing scores.
General reasoning
| MMLU | 83.1 | as of 2024-11-21 | source ↗ |
Code
| HumanEval | 92.4 | as of 2024-11-21 | source ↗ |
Math
| MATH | 63.0 | as of 2024-11-21 | source ↗ |
Held-out / arena
| IFEval | 83.2 | as of 2024-11-21 | source ↗ |
Recommended use cases
- open instruct baseline
- post-training research reproducibility
- RLVR experimentation
Available quantizations
GGUF llama.cpp's container; the common local format, k-quants from Q2 to Q8.
runs on llama.cpp, Ollama
Verified via the Hugging Face model tree ↗. Community quantizations change over time; the families shown are those with published weights at audit time.
Notable innovations
- · RLVR (Reinforcement Learning with Verifiable Rewards)
- · Fully open post-training recipe
- · Open instruct match to closed Llama 3.1 70B Instruct
Known limitations
- · Weights are released under the Llama 3.1 Community License, not Apache; the Tülu 3 code and data are Apache but the checkpoint itself inherits Meta's license. source ↗
Lineage
Post-trained from Llama 3.1 70B base; fully open recipe (SFT + DPO + RLVR). Weights inherit the Llama 3.1 Community License from the base.