Quick start
ollama run qwq:latestRunnable variants
Memory is a rough file-size estimate; context length, runtime and GPU offload change it.
8 of 8 matching variants shown.8 of 8 variants shown.
| Tag | Type | Inputs | Digest | Download | Parameters | Quantization | Context | Est. memory | Run |
|---|---|---|---|---|---|---|---|---|---|
| 32b | Typelocal | Inputstext | Digest009cb3f08d74 | Download20 GB | Parameters32b | QuantizationUnknown | Context40K | Est. memory≈ 23.5 GB | ollama run qwq:32b |
| 32b-fp16 | Typelocal | Inputstext | Digest034d83f95090 | Download66 GB | Parameters32b | QuantizationFP16 | Context40K | Est. memory≈ 75 GB | ollama run qwq:32b-fp16 |
| 32b-preview-fp16 | Typelocal | Inputstext | Digest44d5ed096b85 | Download66 GB | Parameters32b | QuantizationFP16 | Context32K | Est. memory≈ 75 GB | ollama run qwq:32b-preview-fp16 |
| 32b-preview-q4_K_M | Typelocal | Inputstext | Digest46407beda5c0 | Download20 GB | Parameters32b | QuantizationQ4_K_M | Context32K | Est. memory≈ 23.5 GB | ollama run qwq:32b-preview-q4_K_M |
| 32b-preview-q8_0 | Typelocal | Inputstext | Digest9c62a2e770b7 | Download35 GB | Parameters32b | QuantizationQ8_0 | Context32K | Est. memory≈ 40.5 GB | ollama run qwq:32b-preview-q8_0 |
| 32b-q4_K_M | Typelocal | Inputstext | Digest009cb3f08d74 | Download20 GB | Parameters32b | QuantizationQ4_K_M | Context40K | Est. memory≈ 23.5 GB | ollama run qwq:32b-q4_K_M |
| 32b-q8_0 | Typelocal | Inputstext | Digestcd10f42e6c58 | Download35 GB | Parameters32b | QuantizationQ8_0 | Context40K | Est. memory≈ 40.5 GB | ollama run qwq:32b-q8_0 |
| latestdefault | Typelocal | Inputstext | Digest009cb3f08d74 | Download20 GB | ParametersUnknown | QuantizationUnknown | Context40K | Est. memory≈ 23.5 GB | ollama run qwq:latest |
Source-listed applications
Related models
Laguna XS 2.1 is a 33B total parameter Mixture-of-Experts model with 3B activated parameters per token designed for agentic coding and long-horizon work on a local machine.
Alibaba's performant long context models for agentic and coding tasks.
As the strongest model in the 30B class, GLM-4.7-Flash offers a new option for lightweight deployment that balances performance and efficiency.
Olmo is a series of Open language models designed to enable the science of language models. These models are pre-trained on the Dolma 3 dataset and post-trained on the Dolci datasets.