M.I.M.I.R - Multi-agent Intelligent Memory & Insight Repository

#!/usr/bin/env node /** * Find Ollama models in local storage and show llama.cpp compatible paths */ import { readdir, readFile, stat } from 'fs/promises'; import { join } from 'path'; import { existsSync } from 'fs'; const OLLAMA_MODELS_PATH = './ollama_models/models'; const MANIFESTS_PATH = join(OLLAMA_MODELS_PATH, 'manifests/registry.ollama.ai/library'); const BLOBS_PATH = join(OLLAMA_MODELS_PATH, 'blobs'); async function findModels() { try { // Check if ollama_models directory exists if (!existsSync(OLLAMA_MODELS_PATH)) { console.log('❌ Ollama models directory not found at:', OLLAMA_MODELS_PATH); console.log('💡 Make sure Ollama has downloaded models'); return; } // Check for manifests directory if (!existsSync(MANIFESTS_PATH)) { console.log('❌ Manifests directory not found at:', MANIFESTS_PATH); console.log('💡 Ollama may not have any models downloaded yet'); return; } const modelDirs = await readdir(MANIFESTS_PATH); if (modelDirs.length === 0) { console.log('📦 No Ollama models found'); console.log('💡 Download a model with: docker exec ollama_server ollama pull nomic-embed-text'); return; } console.log('📦 Found Ollama Models:\n'); for (const modelName of modelDirs) { const modelPath = join(MANIFESTS_PATH, modelName); const versions = await readdir(modelPath); for (const version of versions) { try { const manifestPath = join(modelPath, version); const manifestContent = await readFile(manifestPath, 'utf8'); const manifest = JSON.parse(manifestContent); // Find the model blob (GGUF file) const modelLayer = manifest.layers?.find(l => l.mediaType === 'application/vnd.ollama.image.model' ); if (modelLayer) { const blobHash = modelLayer.digest.replace('sha256:', ''); const blobPath = `/models/blobs/sha256-${blobHash}`; const localBlobPath = join(OLLAMA_MODELS_PATH, 'blobs', `sha256-${blobHash}`); // Check if blob exists let blobExists = false; let blobSize = 0; try { const stats = await stat(localBlobPath); blobExists = stats.isFile(); blobSize = stats.size; } catch (err) { // File doesn't exist } console.log(` Model: ${modelName}:${version}`); console.log(` Path: ${blobPath}`); console.log(` Size: ${(blobSize / 1024 / 1024).toFixed(2)} MB`); console.log(` Local: ${localBlobPath}`); console.log(` Exists: ${blobExists ? '✅' : '❌'}`); console.log(); } } catch (err) { console.error(` ⚠️ Error reading manifest for ${modelName}:${version}:`, err.message); } } } // Also list all blobs console.log('\n📁 All GGUF model files in blobs directory:'); if (existsSync(BLOBS_PATH)) { const blobs = await readdir(BLOBS_PATH); const modelBlobs = blobs.filter(b => b.startsWith('sha256-')); for (const blob of modelBlobs) { const blobPath = join(BLOBS_PATH, blob); const stats = await stat(blobPath); console.log(` ${blob} (${(stats.size / 1024 / 1024).toFixed(2)} MB)`); } } } catch (error) { console.error('❌ Error reading Ollama models:', error.message); console.log('\n💡 Make sure Ollama has downloaded models to ./ollama_models'); } } findModels();