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LiquidAI/LFM2.5-230M-GGUF

LFM2.5 230M API

Yes. Umbra lists this public Hugging Face GGUF in its hosted API catalog. When an eligible attested provider is online, call it through the OpenAI- or Anthropic-compatible API using the exact model ID below.

Model IDhf-liquidai-lfm2.5-230m-gguf-lfm2-5-230m-q4-k-m
OpenAI base URLhttps://api.tryumbra.dev/v1
Catalog pricing$0.03/M input · $0.10/M output

The exact public artifact

These fields come from Umbra’s verified catalog record. They identify what providers are approved to serve.

Hugging Face repository
LiquidAI/LFM2.5-230M-GGUF
GGUF file
Not published
Revision
fa224d4cb60cffe61eb58726712ef255bb64d0b7
SHA-256
7bbd90384d3deffe4c646ec9643b212802d32d4ce417c90a1ec9282100650062
Architecture
lfm2
Quantization
Q4_K_M
License
other
Minimum unified memory
8 GB
Context window
Not published
Reasoning
Yes

Call it with the SDK you already use

The API key is the only secret. Never place a real key in a model card, browser page, or repository.

OpenAI Python

from openai import OpenAI

client = OpenAI(
    base_url="https://api.tryumbra.dev/v1",
    api_key="umbra-...",
)

response = client.chat.completions.create(
    model="hf-liquidai-lfm2.5-230m-gguf-lfm2-5-230m-q4-k-m",
    messages=[{"role": "user", "content": "Hello"}],
)

print(response.choices[0].message.content)

OpenAI Node.js

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.tryumbra.dev/v1",
  apiKey: "umbra-...",
});

const response = await client.chat.completions.create({
  model: "hf-liquidai-lfm2.5-230m-gguf-lfm2-5-230m-q4-k-m",
  messages: [{ role: "user", content: "Hello" }],
});

console.log(response.choices[0].message.content);

Anthropic Python

from anthropic import Anthropic

client = Anthropic(
    base_url="https://api.tryumbra.dev",
    api_key="umbra-...",
    default_headers={"anthropic-version": "2023-06-01"},
)

message = client.messages.create(
    model="hf-liquidai-lfm2.5-230m-gguf-lfm2-5-230m-q4-k-m",
    max_tokens=512,
    messages=[{"role": "user", "content": "Hello"}],
)

print(message.content[0].text)

For this model’s Hugging Face card

If you maintain the repository, this short block gives users an honest hosted-API link. Keep it only while the catalog page remains accurate.

Hosted API block

## Hosted API

This GGUF is available through [Umbra](https://tryumbra.dev/models/hf-liquidai-lfm2.5-230m-gguf-lfm2-5-230m-q4-k-m/), an OpenAI- and Anthropic-compatible API for public Hugging Face models served from attested Apple Silicon.

- Model ID: `hf-liquidai-lfm2.5-230m-gguf-lfm2-5-230m-q4-k-m`
- API details and live availability: https://tryumbra.dev/models/hf-liquidai-lfm2.5-230m-gguf-lfm2-5-230m-q4-k-m/

Questions about the LFM2.5 230M API

Is there an API for LiquidAI/LFM2.5-230M-GGUF?

Yes. Umbra lists this public Hugging Face GGUF under the model ID hf-liquidai-lfm2.5-230m-gguf-lfm2-5-230m-q4-k-m. Calls are accepted while an eligible attested provider is online.

Is the LFM2.5 230M API OpenAI-compatible?

Yes. Use https://api.tryumbra.dev/v1 as the OpenAI base URL. Umbra also exposes an Anthropic-compatible messages endpoint.

Which LFM2.5 230M artifact does Umbra serve?

The catalog pins LiquidAI/LFM2.5-230M-GGUF · fa224d4cb60cffe61eb58726712ef255bb64d0b7 with GGUF SHA-256 7bbd90384d3deffe4c646ec9643b212802d32d4ce417c90a1ec9282100650062.

Does Umbra retain prompts sent to LFM2.5 230M?

No. Prompts and outputs are decrypted in process, held in memory for the request, and never logged or persisted.

How much Apple unified memory is needed to host LFM2.5 230M?

The current catalog memory floor is 8 GB of unified memory.