DeepSeek R1 Distill Qwen 7B
What the small distill models lack: the complete reasoning pattern of the R1 line in an edge-suitable footprint. DeepSeek-R1-Distill-Qwen-7B brings 7.6B dense parameters on a Qwen-2.5-Math-7B base, 128,000 tokens of context, an MIT license, and runs locally as an Unsloth GGUF on consumer hardware.
- Open Weights
- Edge
- llama.cpp
- Text
- Instruction-Tuned
- Batch
Sovereign Risk: MEDIUM DeepSeek is the original provider of the R1-Distill line; the 7B model was distilled from reasoning traces onto a Qwen2.5-Math-7B backbone. The local Unsloth GGUF distribution minimizes operational risk in offline deployments, but the Chinese origin of the base provider and the distillation chain keep supply-chain risk at a moderate level.
Key metrics
Score · Latency · Cost · Quality
- Total Score Standard
- 42.58
- Routine
- 27.08
- Reasoning
- 15.5
- LLM Judge Avg
- 1.8 / 5
- 100 Coverage
- Avg Task Duration
- 110.66s
- Batch
- Token Rate
- 29.27tok/s
- Output Rate
- P95 Latency
- 663.47s
- Top 5 %
- Total Tokens
- 158800
- Output Volume
- Cost per 1K
- $0
- USD / 1K Requests
- Benchmark Cost
- $0
- Total · 158800 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
Token efficiency & latency
Consumption per module vs. model median