llama 2 7b chat

Llama 2

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

Released July 20234K context≈ 3,072 words

A compact, conversational model fine-tuned for dialogue and instruction-following. At 7 billion parameters, it handles everyday chat tasks with reasonable fluency but shows its limits on complex reasoning or lengthy contexts — the 4096-token window fills up faster than you'd expect. Unsloth's version is optimized for efficient inference, making it notably faster to run on consumer hardware.

Capabilities

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

Instruction Following

Moderate

Creative Writing

llama 2 7b chat

Llama 2

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

Released July 20234K context≈ 3,072 words

A compact, conversational model fine-tuned for dialogue and instruction-following. At 7 billion parameters, it handles everyday chat tasks with reasonable fluency but shows its limits on complex reasoning or lengthy contexts — the 4096-token window fills up faster than you'd expect. Unsloth's version is optimized for efficient inference, making it notably faster to run on consumer hardware.

Capabilities

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

Instruction Following

Moderate

Creative Writing

Glossary

Complex ReasoningThe ability to work through multi-step problems, analyze nuanced information, and draw logical conclusions.Conversational ModelA language model specifically trained and optimized to engage in multi-turn dialogue with users.Fine-TunedA pre-trained model further trained on a smaller, task-specific dataset to improve performance on that task.InferenceThe process of running a trained model to generate predictions or outputs from new inputs.Instruction-FollowingThe ability of a model to understand and execute specific tasks or commands given in natural language prompts.ParametersThe learned numerical values in a model — more parameters generally means more capacity but higher compute cost.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.TokenA small unit of text (a word, subword, or punctuation mark) that a language model breaks input into for processing.

llama 2 7b chat

Capabilities

llama 2 7b chat

Capabilities

Use Case Fit

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