Mistral Nemo
Mistral and NVIDIA's 12B: 128K context, Apache-2.0.
About
Mistral-Nemo-Instruct-2407 is the Mistral AI × NVIDIA collaboration: a 12B dense model with 128K-token context, the Tekken tokenizer (more efficient than Llama's for multilingual text and code), and Apache-2.0 licensing. 272k HF downloads, not gated. It filled the 12B gap between 7B and 70B with long-context chops — though the slot is now crowded (Gemma 2 12B, Qwen2.5 14B) and Mistral Small 3 supersedes it. A solid, permissively-licensed mid-size choice.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Provider-reported (Mistral/NVIDIA, Jul 2024): strong 12B-class on MMLU, HumanEval; 128K long-context — provider-reported.
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 7/10
Scored 7/10 (verified tier, metrics-v1). Evidence: HF downloads 272,203 (peer-normalized); released 818 days ago. Manual review: Mistral×NVIDIA 12B (128K, Tekken tokenizer), 272k dl; superseded by Mistral Small 3; crowded 12B slot. License: Apache-2.0.
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 8.1/10
- Maintenance · recency, releases, issue load
- 4.0/10
- Openness · license + docs
- 10.0/10
- Manual review · sanity read + red-flag check
- 8.0/10
- · HF downloads 272,203 (peer-normalized)
- · released 818 days ago
- · manual review: Mistral×NVIDIA 12B (128K, Tekken tokenizer), 272k dl; superseded by Mistral Small 3; crowded 12B slot