---
license: mit
base_model:
- FractalAIResearch/Fathom-Search-4B
- FractalAIResearch/Fathom-Synthesizer-4B
language:
- en
pipeline_tag: text-generation
library_name: transformers
tags:
- text-generation-inference
- web
- agent
---

# **Fathom-4B-AIO-GGUF**

> Fathom-DeepResearch is a dual-model agentic system consisting of Fathom-Search-4B and Fathom-Synthesizer-4B, optimized for long-horizon web search, evidence verification, and synthesis into citation-dense reports. These 4B-parameter models are trained to browse, extract, verify, and reason over live web content, setting state-of-the-art open-weight performance on search-heavy tasks (SimpleQA, FRAMES, WebWalkerQA, Seal0) and surpassing closed-source DeepResearch agents like Claude, Grok, Perplexity, and GPT-4o on DeepResearch-Bench. The system leverages a multi-agent self-play pipeline to generate datasets like DuetQA, enforces live web search with multi-hop QA pairs, and employs RAPO (Reward-Aware Policy Optimization) and novel steerable, step-level rewards for stable multi-turn RL with verifiable rewards. The DeepResearch plan-then-write protocol ensures rigorous decomposition, evidence mapping, and insight generation for end-to-end report synthesis. The released stack includes a web-agent search tool server built on Jina-AI, Crawl4AI, Trafilatura, and Serper.dev, supporting high-volume, asynchronous search with URL handlers for YouTube, PDFs, Reddit, and more. The models and code are licensed under MIT to promote open research and community collaboration, with a focus on democratizing complex web-enhanced LLMs for research, development, and AI practitioners worldwide.

## Fathom-4B Models GGUF

| Model                      | Link                                                                                  |
|----------------------------|-----------------------------------------------------------------------------------------|
| Fathom-Search-4B-GGUF      | https://huggingface.co/prithivMLmods/Fathom-4B-AIO-GGUF/tree/main/Fathom-Search-4B-GGUF      |
| Fathom-Synthesizer-4B-GGUF | https://huggingface.co/prithivMLmods/Fathom-4B-AIO-GGUF/tree/main/Fathom-Synthesizer-4B-GGUF |

## Model Files

### Fathom-Search-4B

| File Name | Quant Type | File Size |
| - | - | - |
| Fathom-Search-4B.BF16.gguf | BF16 | 8.05 GB |
| Fathom-Search-4B.F16.gguf | F16 | 8.05 GB |
| Fathom-Search-4B.F32.gguf | F32 | 16.1 GB |
| Fathom-Search-4B.Q2_K.gguf | Q2_K | 1.67 GB |
| Fathom-Search-4B.Q3_K_L.gguf | Q3_K_L | 2.24 GB |
| Fathom-Search-4B.Q3_K_M.gguf | Q3_K_M | 2.08 GB |
| Fathom-Search-4B.Q3_K_S.gguf | Q3_K_S | 1.89 GB |
| Fathom-Search-4B.Q4_K_M.gguf | Q4_K_M | 2.5 GB |
| Fathom-Search-4B.Q4_K_S.gguf | Q4_K_S | 2.38 GB |
| Fathom-Search-4B.Q5_K_M.gguf | Q5_K_M | 2.89 GB |
| Fathom-Search-4B.Q5_K_S.gguf | Q5_K_S | 2.82 GB |
| Fathom-Search-4B.Q6_K.gguf | Q6_K | 3.31 GB |
| Fathom-Search-4B.Q8_0.gguf | Q8_0 | 4.28 GB |

### Fathom-Synthesizer-4B

| File Name | Quant Type | File Size |
| - | - | - |
| Fathom-Synthesizer-4B.BF16.gguf | BF16 | 8.05 GB |
| Fathom-Synthesizer-4B.F16.gguf | F16 | 8.05 GB |
| Fathom-Synthesizer-4B.F32.gguf | F32 | 16.1 GB |
| Fathom-Synthesizer-4B.Q2_K.gguf | Q2_K | 1.67 GB |
| Fathom-Synthesizer-4B.Q3_K_L.gguf | Q3_K_L | 2.24 GB |
| Fathom-Synthesizer-4B.Q3_K_M.gguf | Q3_K_M | 2.08 GB |
| Fathom-Synthesizer-4B.Q3_K_S.gguf | Q3_K_S | 1.89 GB |
| Fathom-Synthesizer-4B.Q4_K_M.gguf | Q4_K_M | 2.5 GB |
| Fathom-Synthesizer-4B.Q4_K_S.gguf | Q4_K_S | 2.38 GB |
| Fathom-Synthesizer-4B.Q5_K_M.gguf | Q5_K_M | 2.89 GB |
| Fathom-Synthesizer-4B.Q5_K_S.gguf | Q5_K_S | 2.82 GB |
| Fathom-Synthesizer-4B.Q6_K.gguf | Q6_K | 3.31 GB |
| Fathom-Synthesizer-4B.Q8_0.gguf | Q8_0 | 4.28 GB |

## Quants Usage 

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):

![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)