wizardLM 7B HF

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released April 20232K context≈ 1,536 words7B params

A compact open-weight model that handles general instruction-following tasks with a conversational style. At 7B parameters with a 2048-token context window, it operates within tight memory constraints, making it accessible for local deployment but limited in handling long documents or extended conversations. It reflects the WizardLM fine-tuning approach focused on complex instruction following.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Instruction Following

Moderate

Multilingual

wizardLM 7B HF

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released April 20232K context≈ 1,536 words7B params

A compact open-weight model that handles general instruction-following tasks with a conversational style. At 7B parameters with a 2048-token context window, it operates within tight memory constraints, making it accessible for local deployment but limited in handling long documents or extended conversations. It reflects the WizardLM fine-tuning approach focused on complex instruction following.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Instruction Following

Moderate

Multilingual

Glossary

Context WindowThe maximum number of tokens a model can process in a single conversation or prompt.Fine-TuningThe process of further training a pre-trained model on new data to adapt it for specific tasks or domains.Instruction-FollowingThe ability of a model to understand and execute specific tasks or commands given in natural language prompts.Local DeploymentRunning a model directly on your own computer or server instead of sending requests to a remote service.Open-Weight ModelA model whose trained weights are publicly released, allowing anyone to download and run it locally.ParametersThe learned numerical values in a model — more parameters generally means more capacity but higher compute cost.TokenA small unit of text (a word, subword, or punctuation mark) that a language model breaks input into for processing.

wizardLM 7B HF

Capabilities

wizardLM 7B HF

Capabilities

Use Case Fit

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Glossary