h2ogpt 4096 llama2 70b chat

Llama 2

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

Released July 20234K context≈ 3,072 words

A large open-weight chat model built on Meta's Llama 2 architecture and fine-tuned by H2O.ai for conversational use. It handles text-based dialogue with the capacity of a 70 billion parameter model, though its 4096-token context window is relatively modest for its size. Works best in straightforward conversational exchanges where raw model scale matters more than extended context.

Capabilities

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

Instruction Following

Strong

Reasoning & Logic

h2ogpt 4096 llama2 70b chat

Llama 2

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

Released July 20234K context≈ 3,072 words

A large open-weight chat model built on Meta's Llama 2 architecture and fine-tuned by H2O.ai for conversational use. It handles text-based dialogue with the capacity of a 70 billion parameter model, though its 4096-token context window is relatively modest for its size. Works best in straightforward conversational exchanges where raw model scale matters more than extended context.

Capabilities

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

Instruction Following

Strong

Reasoning & Logic

Glossary

ArchitectureThe underlying structural design of a neural network that defines how data flows through layers and components.Chat ModelA language model specifically trained to have natural back-and-forth conversations with users rather than just completing text.Context WindowThe maximum number of tokens a model can process in a single conversation or prompt.Fine-TunedA pre-trained model further trained on a smaller, task-specific dataset to improve performance on that task.Model ScaleThe size of a model measured by the number of parameters it contains; smaller models are faster but less capable than larger ones.Parameter ModelA neural network described by the number of learnable weights it contains; more parameters generally mean greater capacity to learn complex patterns, but also require more computational resources.TokenA small unit of text (a word, subword, or punctuation mark) that a language model breaks input into for processing.

h2ogpt 4096 llama2 70b chat

Capabilities

h2ogpt 4096 llama2 70b chat

Capabilities

Use Case Fit

Key Papers

Glossary