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LiquidAI/LFM2.5-230M-GGUF

LFM2.5 230M Q4_0_4_4 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-bf16
OpenAI base URLhttps://api.tryumbra.dev/v1
Catalog pricing$0.03/M input · $0.10/M output

Published artifact provenance

This catalog entry is missing at least one field needed for an exact artifact claim. Verify the repository, revision, filename, and digest before relying on it.

Hugging Face repository
LiquidAI/LFM2.5-230M-GGUF
GGUF file
Not published
Revision
fa224d4cb60cffe61eb58726712ef255bb64d0b7
SHA-256
9a47cffa8c86d071e4cdb2adf6861251fecd6191c226c88607a193a0d9cc5a38
Architecture
lfm2
Quantization
Q4_0_4_4
License
other
Minimum unified memory
8 GB
Context window
128,000 tokens
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-bf16",
    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-bf16",
  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-bf16",
    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-bf16/), 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-bf16`
- API details and live availability: https://tryumbra.dev/models/hf-liquidai-lfm2.5-230m-gguf-lfm2-5-230m-bf16/

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-bf16. 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?

Umbra’s catalog record does not yet publish every field needed to identify one exact artifact: repository, immutable revision, GGUF filename, and SHA-256 digest. Review the provenance fields below before use.

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.