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unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2026-05-23T14:30:36.550Z","updated_at":"2026-05-23T14:30:37.163Z","avatar_url":"https://github.com/cebor.png","language":"PowerShell","funding_links":[],"categories":[],"sub_categories":[],"readme":"# ollama-modelfiles\n\nOllama Modelfile collection for local AI coding workflows, optimized for two machines.\n\n## Hardware\n\n| Machine | Chip | RAM | VRAM |\n|---------|------|-----|------|\n| MacBook | Apple M3 | 24 GB Unified Memory | — |\n| PC | NVIDIA RTX 5090 | 64 GB RAM | 32 GB VRAM |\n\n## Models\n\n| Model | Type | Size (Q4_K_M) | Mac ctx | PC ctx |\n|-------|------|---------------|---------|--------|\n| gemma4:26b-a4b-it-q4_K_M | MoE | ~18 GB | 16384 | 131072 |\n| gemma4:31b-it-q4_K_M | Dense | ~21 GB | 8192 | 65536 |\n| qwen3.6:27b-q4_K_M | Dense | ~17 GB | 8192 | 65536 |\n| qwen3.6:35b-a3b-q4_K_M | MoE | ~24 GB | — | 131072|\n\n\n## Setup\n\n### Mac Setup\n```bash\n# Create custom configs\nollama create gemma4-26b-coding -f ./mac-m3-24gb/gemma4-26b-a4b-it-q4_K_M.txt\nollama create gemma4-31b-planning -f ./mac-m3-24gb/gemma4-31b-it-q4_K_M.txt\nollama create qwen3.6-27b-planning -f ./mac-m3-24gb/qwen3.6-27b-q4_K_M.txt\nollama list\n```\n\n### PC Setup\n```bash\n# Create custom configs\nollama create gemma4-26b-coding -f ./pc-rtx5090-32gb/gemma4-26b-a4b-it-q4_K_M.txt\nollama create gemma4-31b-planning -f ./pc-rtx5090-32gb/gemma4-31b-it-q4_K_M.txt\nollama create qwen3.6-27b-planning -f ./pc-rtx5090-32gb/qwen3.6-27b-q4_K_M.txt\nollama create qwen3.6-35b-coding -f ./pc-rtx5090-32gb/qwen3.6-35b-a3b-q4_K_M.txt\nollama list\n```\n\n## Repository Structure\n```\nollama-modelfiles/\n├── README.md\n├── mac-m3-24gb/\n│   ├── gemma4-26b-a4b-it-q4_K_M.txt\n│   ├── gemma4-31b-it-q4_K_M.txt\n│   └── qwen3.6-27b-q4_K_M.txt\n├── pc-rtx5090-32gb/\n│   ├── gemma4-26b-a4b-it-q4_K_M.txt\n│   ├── gemma4-31b-it-q4_K_M.txt\n│   ├── qwen3.6-27b-q4_K_M.txt\n│   └── qwen3.6-35b-a3b-q4_K_M.txt\n└── scripts/\n    └── ollama-network-expose.ps1\n```\n\n## Parameters\n\n| Parameter | Value | Description |\n|-----------|-------|-------------|\n| `num_ctx` | varies by model/hardware | Maximum context length in tokens |\n| `temperature` | 0.2 (coding) / 0.5 (planning) | Coding = deterministic output; Planning = more creative reasoning |\n| `repeat_penalty` | 1.1 | Prevents repetitive outputs |\n\n## VS Code Copilot Chat\n\nAfter setup, select the desired model in Copilot Chat:\n- `gemma4-26b-coding`\n- `gemma4-31b-planning`\n- `qwen3.6-35b-coding` *(PC only)*\n- `qwen3.6-27b-planning`\n\n## Scripts\n\n| Script | Platform | Description |\n|--------|----------|-------------|\n| `scripts/ollama-network-expose.ps1` | Windows (PowerShell) | Exposes the Ollama API on the local network |\n\n```powershell\n# Run from repo root in an elevated PowerShell session\npowershell -ExecutionPolicy Bypass -File .\\scripts\\ollama-network-expose.ps1\n```","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcebor%2Follama_models","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcebor%2Follama_models","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcebor%2Follama_models/lists"}