Llama 2 7b Chat Hf
PulseGate's liveness check found it on 14 Sep 2026; it is registered on Hugging Face and has been in the index since 22 Jul 2026. How this is checked
meta-llama/Llama-2-7b-chat-hf is the official Hugging Face conversion of Meta's 7 billion parameter Llama 2 chat model. It includes a chat template optimized for conversational use and can be run with the Transformers library. The model is widely used by developers building local LLM applications, fine-tuning, or research experiments.
Inferred · not functionally tested
Overview
3 featuresPurpose: Accessing and running a permissively licensed 7B chat model locally or in custom inference setups.
Inferred · not functionally tested
Audience: developers and researchers
Inferred · not functionally tested
Functions: agents
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown
Recorded constraints: pricing: open_source · license: Open Source · platforms: CLI, WEB · deployment: browser, cli, api_only
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: huggingface.co. These links do not verify the individual claims.
Llama 2 7b Chat Hf sits in PulseGate's Quantised & converted weights category. Inferred · not functionally tested: It focuses on accessing and running a permissively licensed 7B chat model locally or in custom inference setups. Inferred · not functionally tested: Llama 2 7b Chat Hf is an open-source project aimed at developers and researchers. Basis unknown · not verified: Llama 2 7b Chat Hf is open source under the Open Source license. Basis unknown · not verified: Llama 2 7b Chat Hf is available on the web, the command line, and API.
Behind Llama 2 7b Chat Hf is Meta, based in the United States, and it first shipped in 2023. The project is developed in the open on GitHub with 59.5k stars. PulseGate's similarity index places it among 7 comparable projects. Inferred · not functionally tested: Key capabilities include Chat Format, Instruction Tuning, and transformers. Inferred · not functionally tested: Catalogued interfaces include a public API.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Chat Format
- Instruction Tuning
- Transformers
Topics: Inferred · not functionally tested
Built with & integrations
- AWS
- x-amz-cf-id header · x-amz-cf-pop header · via header
- openai
- bgpt- in the HTML
- multiple
- bLangChain in the HTML
- local_oss
- bollama in the HTML · bllama in the HTML · bvllm in the HTML
- meta_llama
- llama- in the HTML
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed22 Jul · 22:06 UTCmeta-llama/Llama-2-7b-chat-hf seen via Hugging Face EnumeratorSource: Hugging Face Enumerator · Open
Frequently asked questions about Llama 2 7b Chat Hf
- What is Llama 2 7b Chat Hf?
- Inferred · not functionally tested: Llama 2 7b Chat Hf focuses on accessing and running a permissively licensed 7B chat model locally or in custom inference setups. It is catalogued under Quantised & converted weights on PulseGate.
- Who is Llama 2 7b Chat Hf for?
- Inferred · not functionally tested: Llama 2 7b Chat Hf is an open-source project built for developers and researchers.
- Is Llama 2 7b Chat Hf free?
- Basis unknown · not verified: Yes — Llama 2 7b Chat Hf is open source under the Open Source license and free to use.
- What platforms does Llama 2 7b Chat Hf run on?
- Basis unknown · not verified: Llama 2 7b Chat Hf runs on the web, the command line, and API.
- Is Llama 2 7b Chat Hf still active?
- PulseGate's liveness check found it on 14 Sep 2026.
- What are alternatives to Llama 2 7b Chat Hf?
- Similar projects tracked by PulseGate include Llama 2 13b Chat Hf, Llama 2 7b Hf, and Llama 7b.Llama 2 13b Chat HfLlama 2 7b HfLlama 7b
- Who makes Llama 2 7b Chat Hf?
- Llama 2 7b Chat Hf is developed by Meta, based in the United States.
- When did Llama 2 7b Chat Hf launch?
- Llama 2 7b Chat Hf first shipped in 2023.
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