h2ogpt 4096 llama2 7b chat

Llama 2

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

Released August 20234K context≈ 3,072 words7b params

A compact, 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 within a 4096-token context window, making it suitable for shorter conversations and focused tasks. As a 7B parameter model, it trades raw capability for accessibility and deployability on modest hardware.

Capabilities

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

Tool Use

Moderate

Reasoning & Logic

h2ogpt 4096 llama2 7b chat

Llama 2

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

Released August 20234K context≈ 3,072 words7b params

A compact, 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 within a 4096-token context window, making it suitable for shorter conversations and focused tasks. As a 7B parameter model, it trades raw capability for accessibility and deployability on modest hardware.

Capabilities

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

Tool Use

Moderate

Reasoning & Logic

Glossary

AccessibilityDesigning technology so people with disabilities can use it effectively.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.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.

Capabilities

Capabilities

Use Case Fit

Glossary