Phocinae Largha 150M v1

Phocinae
phocinae/phocinae-largha-150m-v1Open Weights

Encoder decision model that answers typed questions (noul, choice, score) over text with calibrated probabilities, on CPU and GPU

Benchmark Pricing$0.00 / 1M in$0.00 / 1M out
Context: 8,192 tokens•Max Output: 4,096 tokens•Released: 2026-10-08

TECHNICAL SPECIFICATIONS

Context Window8,1928.2K tokens
Max Output4,0964.1K tokens
LicenseApache-2.0Self-hostable
Input Modalities
Text
Function / Tool CallingNot Supported
Structured OutputsPrompt Based

MODEL CONTEXT PROTOCOL (MCP) READINESS

⚠ Phocinae Largha 150M v1 does not natively advertise tool-calling capabilities. When connecting to MCP servers, function calling must be handled via structured prompt injection.

MCP Context Window Recommendations

With a context capacity of 8,192 tokens, this model can handle compact tool sets. Consider keeping MCP server tool manifests minimal to preserve headroom.

API CALL INVOCATION EXAMPLE

// Example: Calling Phocinae Largha 150M v1 via OpenAI SDK
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.PHOCINAE_API_KEY,
});

const response = await client.chat.completions.create({
  model: "phocinae/phocinae-largha-150m-v1",
  messages: [{ role: "user", content: "Hello! Can you inspect MCP tools?" }],
});

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

PRICING BY PROVIDER

0 providers

Rates in USD per 1M tokens. Rates synchronized from models.dev public catalog.

MODEL RESOURCES

View Phocinae HubHugging Face Weights