Last refreshed 2026-09-29. Next refresh: weekly.
Why use StableLM Tuned Alpha 7B on Replicate API?
Replicate API offers StableLM Tuned Alpha 7B with competitive pricing. Replicate is a cloud-based platform that enables users to run machine learning models easily and efficiently.
Input / 1M
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Output / 1M
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Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install replicateAuth
export REPLICATE_API_TOKEN=...Call
import replicate
output = replicate.run(
"stability-ai/stablelm-tuned-alpha-7b",
input={"prompt": "Hello"}Model ID
stability-ai/stablelm-tuned-alpha-7bRequest example
import replicate
# reads REPLICATE_API_TOKEN from env
# stability-ai/stablelm-tuned-alpha-7b format: "owner/model-name" (latest version) or "owner/model-name:version-hash"
output = replicate.run(
"stability-ai/stablelm-tuned-alpha-7b",
input={"prompt": "Hello"}
)
# Output is a list or generator depending on the model
print("".join(output))Gotchas
- Use provider model ID "stability-ai/stablelm-tuned-alpha-7b", not the LLMReference slug "stablelm-tuned-alpha-7b".
- Replicate uses "owner/model-name" format (e.g. "meta/meta-llama-3-8b-instruct") for the latest version, or "owner/model-name:version-sha" to pin to a specific version. The REST endpoint splits owner and model-name into the path: /v1/models/{owner}/{model-name}/predictions.
- The examples expect REPLICATE_API_TOKEN; rename it only if your application config maps the new variable.
Capabilities
No model capability flags are currently sourced.
About StableLM Tuned Alpha 7B
Stability AI's StableLM Tuned Alpha 7B, an instruction-tuned variant of the StableLM base model. Fine-tuned for conversational and instruction-following tasks.
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Model Specs
Released2023-04-20
Parameters7B
Context4k
ArchitectureDecoder Only