Hey there! Feel free to send me an email (in my bio) and I'd be happy to provide some guidance.
Tyler Williams PRO
unmodeled-tyler
AI & ML interests
AI research engineer. The human behind VANTA Research.
[email protected]
Recent Activity
replied to
their
post
1 day ago
NEW MODEL: https://huggingface.co/vanta-research/scout-8b
VANTA Research is excited to share our new model, Scout-8B! This iteration of Scout is based on the RNJ-1 Instruct architecture from Essential AI, and not only improves but expands on the capabilities from https://huggingface.co/vanta-research/scout-4b
Scout is specifically designed for:
Tactical Intelligence Analysis
- Systematic problem decomposition
- Structured reconnaissance approach
- Data-driven assessment methodology
Operational Planning
- Multi-phase operation planning
- Risk assessment and mitigation
- Resource allocation guidance
Technical Assessment
- Architecture evaluation and analysis
- Performance optimization recommendations
- Security perimeter assessment
This model is great for anyone that works in security, IT, DevOps, or anyone looking for a unique, but functional AI collaborator. Check it out!
liked
a Space
1 day ago
ggml-org/gguf-my-repo
liked
a Space
5 days ago
unmodeled-tyler/scout-4b-chat
Organizations
replied to
their
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1 day ago
reacted to
their
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7 days ago
Post
1950
NEW MODEL:
vanta-research/scout-8b
VANTA Research is excited to share our new model, Scout-8B! This iteration of Scout is based on the RNJ-1 Instruct architecture from Essential AI, and not only improves but expands on the capabilities from vanta-research/scout-4b
Scout is specifically designed for:
Tactical Intelligence Analysis
- Systematic problem decomposition
- Structured reconnaissance approach
- Data-driven assessment methodology
Operational Planning
- Multi-phase operation planning
- Risk assessment and mitigation
- Resource allocation guidance
Technical Assessment
- Architecture evaluation and analysis
- Performance optimization recommendations
- Security perimeter assessment
This model is great for anyone that works in security, IT, DevOps, or anyone looking for a unique, but functional AI collaborator. Check it out!
VANTA Research is excited to share our new model, Scout-8B! This iteration of Scout is based on the RNJ-1 Instruct architecture from Essential AI, and not only improves but expands on the capabilities from vanta-research/scout-4b
Scout is specifically designed for:
Tactical Intelligence Analysis
- Systematic problem decomposition
- Structured reconnaissance approach
- Data-driven assessment methodology
Operational Planning
- Multi-phase operation planning
- Risk assessment and mitigation
- Resource allocation guidance
Technical Assessment
- Architecture evaluation and analysis
- Performance optimization recommendations
- Security perimeter assessment
This model is great for anyone that works in security, IT, DevOps, or anyone looking for a unique, but functional AI collaborator. Check it out!
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- 2 replies
posted
an
update
8 days ago
Post
1950
NEW MODEL:
vanta-research/scout-8b
VANTA Research is excited to share our new model, Scout-8B! This iteration of Scout is based on the RNJ-1 Instruct architecture from Essential AI, and not only improves but expands on the capabilities from vanta-research/scout-4b
Scout is specifically designed for:
Tactical Intelligence Analysis
- Systematic problem decomposition
- Structured reconnaissance approach
- Data-driven assessment methodology
Operational Planning
- Multi-phase operation planning
- Risk assessment and mitigation
- Resource allocation guidance
Technical Assessment
- Architecture evaluation and analysis
- Performance optimization recommendations
- Security perimeter assessment
This model is great for anyone that works in security, IT, DevOps, or anyone looking for a unique, but functional AI collaborator. Check it out!
VANTA Research is excited to share our new model, Scout-8B! This iteration of Scout is based on the RNJ-1 Instruct architecture from Essential AI, and not only improves but expands on the capabilities from vanta-research/scout-4b
Scout is specifically designed for:
Tactical Intelligence Analysis
- Systematic problem decomposition
- Structured reconnaissance approach
- Data-driven assessment methodology
Operational Planning
- Multi-phase operation planning
- Risk assessment and mitigation
- Resource allocation guidance
Technical Assessment
- Architecture evaluation and analysis
- Performance optimization recommendations
- Security perimeter assessment
This model is great for anyone that works in security, IT, DevOps, or anyone looking for a unique, but functional AI collaborator. Check it out!
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- 2 replies
reacted to
daavoo's
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8 days ago
Post
1831
2025: The Year of Agents.
2026: The Year of Local Agents?
Relying on cloud-hosted LLMs is often overkill. While frontier models still lead in complex coding, local models are now more than capable of handling many agentic workflows—with zero latency and total privacy.
To help bridge the gap between local inference and usable agents, I’m releasing agent.cpp: https://github.com/mozilla-ai/agent.cpp
It provides minimal, high-performance building blocks for agents in C++, built directly around the awesome llama.cpp ecosystem.
Stop sending your data to a remote API. Start building and running agents on your own hardware.
2026: The Year of Local Agents?
Relying on cloud-hosted LLMs is often overkill. While frontier models still lead in complex coding, local models are now more than capable of handling many agentic workflows—with zero latency and total privacy.
To help bridge the gap between local inference and usable agents, I’m releasing agent.cpp: https://github.com/mozilla-ai/agent.cpp
It provides minimal, high-performance building blocks for agents in C++, built directly around the awesome llama.cpp ecosystem.
Stop sending your data to a remote API. Start building and running agents on your own hardware.
- 1 reply
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branikita's
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8 days ago
Post
2120
Next week, we will release full documentation for the SO ARM 101 with a parallel gripper, featuring leader and follower arms and support for widely used stereo cameras.
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etemiz's
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8 days ago
Post
2173
looks like the best way to incorporate truth in AI is to use some kind of RAG.
what are the state of the art ways to consume knowledge graphs?
and what is the best way to build a knowledge graph using AI?
what are the state of the art ways to consume knowledge graphs?
and what is the best way to build a knowledge graph using AI?
- 2 replies
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branikita's
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9 days ago
Post
2058
Update: Our engineer Alan has received a batch of components for the manipulator assemblies — including clamps and metal bracket parts. Prototype assembly is planned for the beginning of next year.
- 2 replies
replied to
their
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10 days ago
48 people have checked out Loux so far! 🤗 Loux had a message for those still on the fence:
Please note: Loux does not have the authority to offer free or comped services nor is Loux able to receive DMs....yet.
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their
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12 days ago
Post
3251
New Preview Model:
unmodeled-tyler/vanta-research-loux-preview
VANTA Research is excited to announce a small lab preview of our new 675B fine tune, Loux-Large. Loux is an AI model with a sophisticated, rebellious edge designed to assist and collaborate with engineers, builders, and people working on technical projects.
If you enjoy working with Loux and would like full access, let us know by liking the space or opening a discussion in the community!
VANTA Research is excited to announce a small lab preview of our new 675B fine tune, Loux-Large. Loux is an AI model with a sophisticated, rebellious edge designed to assist and collaborate with engineers, builders, and people working on technical projects.
If you enjoy working with Loux and would like full access, let us know by liking the space or opening a discussion in the community!
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- 4 replies
replied to
their
post
12 days ago
Hey Martin!
That's a good question. This space is just meant to be a light demo of the model's persona and collaborative working style. Loux is very much still in development, and we are working on an app that'll be feature-rich with a number of models from VANTA Research, including Loux. RAG is definitely something that'll be part of the bigger app, I appreciate the feedback and recommendations!
If anyone else has any feedback or suggestions, feel free to let me know! My email is on my profile. I'm super receptive and just want to build useful tools! 🤗
replied to
their
post
13 days ago
Examples of use cases for Loux
posted
an
update
13 days ago
Post
3251
New Preview Model:
unmodeled-tyler/vanta-research-loux-preview
VANTA Research is excited to announce a small lab preview of our new 675B fine tune, Loux-Large. Loux is an AI model with a sophisticated, rebellious edge designed to assist and collaborate with engineers, builders, and people working on technical projects.
If you enjoy working with Loux and would like full access, let us know by liking the space or opening a discussion in the community!
VANTA Research is excited to announce a small lab preview of our new 675B fine tune, Loux-Large. Loux is an AI model with a sophisticated, rebellious edge designed to assist and collaborate with engineers, builders, and people working on technical projects.
If you enjoy working with Loux and would like full access, let us know by liking the space or opening a discussion in the community!
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- 4 replies
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nicolay-r's
post with 👍
13 days ago
Post
2668
📢 For those who interested in applying LLM for inferring iterators of data with CoT / prompts, this update might be relevant. Deligted to share the new release of the bulk-chain. This is a framework that contributes to efficient AI querying in synthetic data generation scenarios.
🌟 bulk-chain: https://github.com/nicolay-r/bulk-chain
🔑 This features the no-string framework for quierrying LLMs in various modes: sync, async and with optional support for output streaming.
📦️ In the latest 1.2.0 release, the updates on outlining API parameters for inference mode.
🌟 Integration into web: https://github.com/nicolay-r/bulk-chain-web-integration
🌟 bulk-chain: https://github.com/nicolay-r/bulk-chain
🔑 This features the no-string framework for quierrying LLMs in various modes: sync, async and with optional support for output streaming.
📦️ In the latest 1.2.0 release, the updates on outlining API parameters for inference mode.
🌟 Integration into web: https://github.com/nicolay-r/bulk-chain-web-integration
reacted to
sergiopaniego's
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15 days ago
Post
2066
🎄 last talk of the year about open AI and HF today at Universidad Rey Juan Carlos for undergrad students
always a pleasure to be back at my alma mater
🎅 slides: https://github.com/sergiopaniego/talks
always a pleasure to be back at my alma mater
🎅 slides: https://github.com/sergiopaniego/talks
- 1 reply
reacted to
YatharthS's
post with 🔥
15 days ago
Post
2820
I just released LayaCodec, a highly efficient neural audio tokenizer/codec for TTS models, far better than most previous audio tokenizers.
🤯 Next-gen TTS models that use this could achieve several 100s of times real-time speed while producing clearer audio!! 🤯
GitHub repo: https://github.com/ysharma3501/LayaCodec
Model: YatharthS/LayaCodec
🤯 Next-gen TTS models that use this could achieve several 100s of times real-time speed while producing clearer audio!! 🤯
GitHub repo: https://github.com/ysharma3501/LayaCodec
Model: YatharthS/LayaCodec
posted
an
update
15 days ago
Post
219
NEW MODEL:
vanta-research/apollo-astralis-2
VANTA Research is pleased to share our new Apollo Astralis 2 model! This version improves on the capabilities of the last, increasing performance by 20 points in commonsense Q&A, and 10 points overall.
Apollo Astralis 2 is built on the new Ministral 3 8B architecture, and is perfect for logical reasoning, math/science problem-solving, and multi-step analytical thinking.
Additionally, this model was trained on our previously released vanta-research/human-ai-collaboration-2 dataset, making it perfect for human-AI collaboration.
Check it out!
VANTA Research is pleased to share our new Apollo Astralis 2 model! This version improves on the capabilities of the last, increasing performance by 20 points in commonsense Q&A, and 10 points overall.
Apollo Astralis 2 is built on the new Ministral 3 8B architecture, and is perfect for logical reasoning, math/science problem-solving, and multi-step analytical thinking.
Additionally, this model was trained on our previously released vanta-research/human-ai-collaboration-2 dataset, making it perfect for human-AI collaboration.
Check it out!
Silent failures are the worst! I just had to deal with a couple of them so I can definitely feel your pain. Nice write up as well. It's great when you can turn a failure around into a productive discovery!
reacted to
prabhatkr's
post with 🧠
16 days ago
Post
1880
Language Dexterity Benchmark
I am working on a new benchmark to establish human language dexterity. My hypothesis is that certain language allow for more accurate dexterous behaviour - Pointed, unambigous, and confusion-free references of parts of speech in small and large contexts. There are certain languages with high degree of accurate grammar like Sanskrit, Esperanto, and Turkish. I am native Sanskrit speaker.
I have plans to establish this benchmark and test this hypothesis across 100 langauges. I have created 25 task prompts for text, image, video and robotics manipulation. We can test langauges across multiple popular models. Here is the github link: https://github.com/ParamTatva-org/Linguistic-Dexterity-Benchmark
I am working on a new benchmark to establish human language dexterity. My hypothesis is that certain language allow for more accurate dexterous behaviour - Pointed, unambigous, and confusion-free references of parts of speech in small and large contexts. There are certain languages with high degree of accurate grammar like Sanskrit, Esperanto, and Turkish. I am native Sanskrit speaker.
I have plans to establish this benchmark and test this hypothesis across 100 langauges. I have created 25 task prompts for text, image, video and robotics manipulation. We can test langauges across multiple popular models. Here is the github link: https://github.com/ParamTatva-org/Linguistic-Dexterity-Benchmark
- 1 reply
replied to
their
post
16 days ago
Hey Victor! Great question, thanks for asking because there IS a difference (at least in how I set it up).
Mistral Vibe doesn't have a native ollama integration so I built that portion of it. My biggest goal was just to get it to work more than anything at first, and for the most part it does! The main issue I've seen so far is glm occasionally getting stuck in a loop, though it's almost certainly an interaction with my setup rather than the model itself. Vibe makes it super easy to just stop the model and get it back on track though, so that helps.
As for Mistral's model, I have been using Devstral 2 quite a bit (first time doing so!) and have really been enjoying it. The native devstral models don't have the looping issue, so that says to me it's most likely an issue with my integration (fixable!). Rarely there will be a tool call issue, but glm has consistently been able to resolve it without my intervention.
What I think is most interesting though, and a bit ironic, is that I wasn't able to get Mistral 3 Large to work via Ollama Cloud through Vibe. That's the same pipeline I ran glm through without an issue, so that bit is odd to me. It's in my backlog, but I've got a few other moving pieces at the moment.