mohusein/nemotron-orchestrator-8b-claude-4.5-opus-distill-gguf 8B.Q8_0 GGUF - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.
mohusein/nemotron-orchestrator-8b-claude-4.5-opus-distill-gguf overview
Nemotron Orchestrator 8B x Claude 4.5 Opus (High Reasoning) Distill This model was trained on a Claude Opus 4.5 (reasoning) dataset with a high reasoning effort. You are viewing the gguf variant of this model, the safetensors variant is available here: TeichAI/Nemotron-Orchestrator-8B-Claude-4.5-Opus-Distill | Model | Effective parameters | Active parameters | | ------------- | ------------- | ------------- | | Qwen3-14B-Claude-4.5-Opus-High-Reasoning-Distill-GGUF | 14 B | 14 B | | Qwen3-8B-Claude-4.5-Opus-High-Reasoning-Distill-GGUF | 8 B | 8 B | | Qwen3-4B-Thinking-2507-Claude-4.5-Opus-High-Reasoning-Distill-GGUF | 4 B | 4 B |
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Nemotron-Orchestrator-8B.F16.gguf | GGUF | F16 | 15.26 GB | Download |
| Nemotron-Orchestrator-8B.Q8_0.gguf | GGUF | — | 8.11 GB | Download |
| orchestrator-8b-claude-4.5-opus-distill.bf16.gguf | GGUF | BF16 | 15.26 GB | Download |
| orchestrator-8b-claude-4.5-opus-distill.iq4_nl.gguf | GGUF | IQ4_NL | 4.49 GB | Download |
| orchestrator-8b-claude-4.5-opus-distill.q3_k_m.gguf | GGUF | Q3_K_M | 3.84 GB | Download |
| orchestrator-8b-claude-4.5-opus-distill.q3_k_s.gguf | GGUF | Q3_K_S | 3.51 GB | Download |
| orchestrator-8b-claude-4.5-opus-distill.q4_k_m.gguf | GGUF | Q4_K_M | 4.68 GB | Download |
| orchestrator-8b-claude-4.5-opus-distill.q8_0.gguf | GGUF | — | 8.11 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
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"metadata": {},
"card_data": {
"datasets": [
"TeichAI/claude-4.5-opus-high-reasoning-250x"
],
"base_model": [
"TeichAI/Nemotron-Orchestrator-8B-Claude-4.5-Opus-Distill"
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"frontmatter": {
"datasets": [
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"hero_image_url": "",
"summary": "# Nemotron Orchestrator 8B x Claude 4.5 Opus (High Reasoning) Distill This model was trained on a **Claude Opus 4.5 (reasoning)** dataset with a high reasoning effort. You are viewing the gguf variant of this model, the safetensors variant is available here: TeichAI/Nemotron-Orchestrator-8B-Claude-4.5-Opus-Distill | Model | Effective parameters | Active parameters | | ------------- | ------------- | ------------- | | Qwen3-14B-Claude-4.5-Opus-High-Reasoning-Distill-GGUF | 14 B | 14 B | | Qwen3-8B-Claude-4.5-Opus-High-Reasoning-Distill-GGUF | 8 B | 8 B | | Qwen3-4B-Thinking-2507-Claude-4.5-Opus-High-Reasoning-Distill-GGUF | 4 B | 4 B |",
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"readme_markdown": "---\ndatasets:\n- TeichAI/claude-4.5-opus-high-reasoning-250x\nbase_model:\n- TeichAI/Nemotron-Orchestrator-8B-Claude-4.5-Opus-Distill\n---\n# Nemotron Orchestrator 8B x Claude 4.5 Opus (High Reasoning) Distill\n\nThis model was trained on a **Claude Opus 4.5 (reasoning)** dataset with a high reasoning effort.\n\nYou are viewing the gguf variant of this model, the safetensors variant is available here: [TeichAI/Nemotron-Orchestrator-8B-Claude-4.5-Opus-Distill](https://huggingface.co/TeichAI/Nemotron-Orchestrator-8B-Claude-4.5-Opus-Distill)\n\n- 🤖 Related Models:\n| Model | Effective parameters | Active parameters |\n| ------------- | ------------- | ------------- |\n| [`Qwen3-14B-Claude-4.5-Opus-High-Reasoning-Distill-GGUF`](https://huggingface.co/TeichAI/Qwen3-14B-Claude-4.5-Opus-High-Reasoning-Distill-GGUF) | 14 B | 14 B |\n| [`Qwen3-8B-Claude-4.5-Opus-High-Reasoning-Distill-GGUF`](https://huggingface.co/TeichAI/Qwen3-8B-Claude-4.5-Opus-High-Reasoning-Distill-GGUF) | 8 B | 8 B |\n| [`Qwen3-4B-Thinking-2507-Claude-4.5-Opus-High-Reasoning-Distill-GGUF`](https://huggingface.co/TeichAI/Qwen3-4B-Thinking-2507-Claude-4.5-Opus-High-Reasoning-Distill-GGUF) | 4 B | 4 B |\n\n- 🧬 Datasets:\n - `TeichAI/claude-4.5-opus-high-reasoning-250x`\n\n- 🏗 Base Model:\n - `unsloth/Qwen3-8B-unsloth-bnb-4bit`\n \n- ⚡ Use cases:\n - Coding\n - Science\n - General Purpose\n\n- ∑ Stats (Dataset)\n - Costs: $ 52.3 (USD)\n - Total tokens (input + output): 2.13 M",
"related_quantizations": []
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"tags": [
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"dataset:TeichAI/claude-4.5-opus-high-reasoning-250x",
"base_model:TeichAI/Nemotron-Orchestrator-8B-Claude-4.5-Opus-Distill",
"base_model:quantized:TeichAI/Nemotron-Orchestrator-8B-Claude-4.5-Opus-Distill",
"endpoints_compatible",
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"created_at": "2026-02-27T19:52:09.000Z",
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Source payload excerpt (from Hugging Face API)
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