GPT-Neo 2.7B is EleutherAI's language model. A 2.7-billion-parameter open-source autoregressive LLM from EleutherAI, replicating the GPT-3 architecture for accessible text generation.
Specifications
Canonical IDeleutherai-gpt-neo-2-7b
TypeLanguage
StatusActive
CreatorEleutherAIEleutherAI
Input ModalitiesText
Output ModalitiesText
Parameters2.7B

Capabilities

Input1/5
Text✓
Image·
Audio·
Video·
PDF·
Output1/5
Text✓
Image·
Audio·
Video·
Embedding·
Capabilities0/13
Reasoning·
Adaptive Reasoning·
Function Calling·
Parallel Function Calling·
Structured Outputs·
Native JSON Schema·
Web Search·
URL Context·
Computer Use·
Code Execution·
File Search·
Prompt Caching·
Assistant Prefill·

Cheapest Instances to Run It

Cloud GPU instances that can host GPT-Neo 2.7B, ranked by cheapest on-demand price. The model needs about 6 GB of GPU memory at FP16 precision (estimated from its parameter count), so treat the fit as guidance rather than a guarantee.

All clouds
FP16 (full precision)
US Dollar ($)
Instance
Cloud
GPU
VRAM
Price
Cheapest region
Standard_NV4as_v4AzureAMD Radeon Instinct MI2516 GB$0.233/hr
g5g.xlargeAWST4g16 GB$0.420/hr
Standard_NV8as_v4AzureAMD Radeon Instinct MI2516 GB$0.466/hr
7 more instances can run GPT-Neo 2.7B
Unlock the full ranked list and FP8 / INT4 quantization with a CloudPrice subscription.

Versions

VersionReleasedContextInput / 1MOutput / 1MStatus
GPT-Neo 2.7B————Current
GPT-Neo 1.3B————Available
GPT-Neo 125M————Available

Model IDs

eleutherai-gpt-neo-2-7b
huggingface-llm-eleutherai-gpt-neo-2-7b
huggingface-textgeneration1-gpt-neo-2-7b