CoffeeVampir3

import { StreamingWebSocket, CancellationError } from "./streamingWebSocket.ts";

/**
 * Example of client-side streaming inference implementation
 * Following the exact flow described in the specification
 */
async function streamInference(
  socket: StreamingWebSocket,
  onContent: (content: string) => void
): Promise<void> {

CoffeeVampir3

[TOOL_CALLS][{"name": "add", "arguments": {"a": 5, "b": 3}}][/TOOL_CALLS]

CoffeeVampir3

import express from "npm:express";
import { randomUUID } from "node:crypto";
import { McpServer } from "npm:@modelcontextprotocol/sdk/server/mcp.js";
import { StreamableHTTPServerTransport } from "npm:@modelcontextprotocol/sdk/server/streamableHttp.js";
import { z } from "npm:zod";

const PORT = 3000;
const MCP_ENDPOINT = "/mcp";

const app = express();

CoffeeVampir3

import torch
import torch.nn as nn
import torch.nn.functional as F
from einops import rearrange

def tversky_multihead_similarity_vectorized_simple(x, features, prototypes, theta, alpha, beta, n_heads):
    batch_size, total_dim = x.shape
    d_head = total_dim // n_heads

    x = rearrange(x, 'b (h d) -> b h d', h=n_heads)

CoffeeVampir3

from safetensors.torch import save_model, load_model
from safetensors import safe_open
import json

config_dict = {'version': '1.0'}
metadata = {k: json.dumps(v) if not isinstance(v, str) else v for k, v in config_dict.items()}

save_model(model, "model.safetensors", metadata=metadata)

# ...

CoffeeVampir3

AMX (Advanced Matrix Extensions) Programming Guide

Overview

AMX is a SIMD extension for x86-64 that provides hardware-accelerated matrix operations using tile registers. It's designed for high-performance matrix multiplication in AI/ML workloads.

Key Features:

• 8 tile registers (TMM0-TMM7)
• Each tile: up to 16 rows × 64 bytes
• Native support for INT8, BF16, and FP16 operations