Hugging Face · directory match
danAI-55M-Reasoning is a 55-million-parameter text-generation model listed on Hugging Face for agentic workflows, tool-calling, and reasoning-oriented use cases. The available model record identifies text as its only modality and lists agentic and tool-calling as capabilities, making it potentially relevant for lightweight agents or applications that need structured interaction with external tools. However, the supplied source content does not disclose context-window size, inference speed, benchmark results, pricing, training data, architecture, or deployment requirements, so practical performance and compatibility cannot be assessed from the available documentation. The model page is hosted at https://huggingface.co/asjadilahi/danAI-55M-Reasoning, and its current indexed description is only “text-generation”; detailed model-card information is not present in the supplied page capture. Licensing terms, safety behavior, limitations, and maintenance status are also not disclosed, so developers should inspect the live Hugging Face repository and its files before production use. The source was available for this review, but no publication or update date is provided, limiting confidence about documentation freshness.
agentstool-callingreasoning
- Size
- 55M parameters
- License tag
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Verify model card ↗Hugging Face · directory match
qwen3.8-9b-uncensored-cyber-exploit-XRPL-v3 is a 9-billion-parameter text model hosted on Hugging Face, with an uncensored classification indicated directly by its model name. Its listed modality is text, and the recorded use cases are agents, uncensored applications, and cybersecurity. This may make it relevant for developers evaluating text-based agent workflows or cybersecurity-oriented experimentation, but the supplied source does not document specific tools, function-calling support, coding performance, reasoning benchmarks, or deployment requirements. Context-window size, inference speed, pricing, and quantitative evaluation results are not disclosed. The supplied page snapshot identifies the Hugging Face repository and presents it as a text-generation model, but it does not expose a substantive model card, detailed methodology, training information, or safety documentation. Licensing terms are also not disclosed in the available source content, so review the repository’s current license and usage conditions before redistribution or commercial deployment. No dated release or update information is available, limiting confidence about source freshness; verify the live repository and files before relying on this listing for production decisions.
agents
- Size
- 9B parameters
- License tag
- Check source card
Verify model card ↗Hugging Face · directory match
VideoGuard-Qwen3.5-4B-Safety-RL-Uncensored is a Hugging Face model intended for video-text-to-text workflows, with the directory record identifying vision, video, reasoning, and uncensored use cases. Its listed modalities are image and text, so developers should verify the repository documentation before assuming direct video-input support or a particular video-processing interface. The model is recorded as having 4 billion parameters, but the supplied page content does not expose technical details such as context length, inference speed, recommended hardware, quantization options, or evaluation results. Pricing is not disclosed because this is a Hugging Face repository rather than a hosted API listing. The model name explicitly includes “Uncensored,” supporting the uncensored classification, but that label should not be treated as a guarantee of behavior, reliability, or suitability for sensitive deployments. Licensing terms and usage restrictions are not disclosed in the supplied source and should be checked on the repository before redistribution or commercial use. The Hugging Face page is the current source referenced here; its visible metadata is primarily generic site content, so the model card appears insufficiently documented for production decisions without further repository review.
reasoning
- Size
- 4B parameters
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Verify model card ↗Hugging Face · directory match
0glm is a Hugging Face text-generation model intended for coding-related use cases. The available source identifies the repository at 0penAGI/0glm and presents it as a model page, but the supplied page content does not expose a model card with technical specifications, examples, evaluation results, or detailed capability descriptions. Its supported modality is text, so developers should not assume native image, audio, or video handling. The parameter count, context window, inference speed, pricing, and deployment requirements are not disclosed in the available source. Licensing terms and any restrictions are also not disclosed, so review the repository and its files before using the model commercially or redistributing it. Because implementation guidance and benchmarks are absent, suitability for production coding, agentic workflows, or tool-calling cannot be established from this listing alone. The page content provides no visible publication or update date, so source freshness is not independently verifiable; consult the live Hugging Face repository for current files, metadata, and documentation.
coding
- Size
- Size not listed
- License tag
- Check source card
Verify model card ↗Hugging Face · directory match
Q36-35B-A3B-Opus4.7-Ablit-Heretic-OBLITERATUS-Hermes-MTP-Vision-Llama is a 35-billion-parameter image-text-to-text model listed on Hugging Face. It accepts image and text inputs, making it relevant for vision-assisted coding, reasoning, agentic workflows, and tool-calling applications. The directory record also classifies it as uncensored and abliterated; those labels are present in the model name and should be treated as descriptive classifications rather than evidence of any particular safety or quality level. The model page does not disclose a context-window size, inference-speed benchmark, pricing, evaluation results, or deployment requirements. Licensing terms are not disclosed in the available source content, so review the Hugging Face repository and any included license files before redistribution or commercial use. The page identifies the model as an image-text-to-text repository, but the supplied content does not include a detailed model card, usage instructions, quantization information, supported runtimes, or maintenance history. Accordingly, developers should validate compatibility, multimodal behavior, tool-calling formats, and output quality in their own environment. The Hugging Face repository is the current source listed for this record; no explicit publication or update date is disclosed.
codingagentstool-calling
- Size
- 35B parameters
- License tag
- Check source card
Verify model card ↗Hugging Face · directory match
qwen3.8-27b-aeon-ultimate-uncensored-attention8-bf16recurrence-vision-mtplx is a 27-billion-parameter model hosted on Hugging Face and listed for image-text-to-text use. Its recorded modalities are image and text, with capabilities including vision-oriented processing, tool-calling, and an uncensored classification explicitly reflected in the model name and directory metadata. Practical use cases include analyzing images alongside text, reasoning over multimodal inputs, and applications that need tool-calling workflows. The directory also categorizes it for reasoning, although no task-specific evaluation results or inference benchmarks are provided. Context-window size, tokens-per-second performance, pricing, and deployment requirements are not disclosed in the supplied source. The provided page content does not expose a model card description, usage examples, safety guidance, or a license, so licensing compatibility and operational safeguards should be verified directly on the Hugging Face repository before production use. The source is the model's Hugging Face page, but the supplied content does not disclose a publication or update date; source freshness therefore cannot be independently confirmed. Treat the listed capabilities and 27-billion-parameter count as metadata rather than evidence of comparative performance.
tool-callingreasoning
- Size
- 27B parameters
- License tag
- Check source card
Verify model card ↗Hugging Face · directory match
Qwen3.8-Distilled-9B-NPU2 is a 9-billion-parameter image-text-to-text model listed on Hugging Face with image and text modalities. Its recorded capabilities include tool-calling, and its documented use cases include tool-calling, vision, and reasoning. This makes it potentially relevant for applications that combine visual inputs with language-based analysis or structured interactions with external tools. The available source page identifies the repository and model type, but it does not disclose a context-window size, inference-speed benchmark, pricing, or detailed evaluation results, so deployment capacity and performance should be validated independently. Licensing terms and safety characteristics are also not disclosed in the available source content; review the repository files and any associated model card before production use. The retrieved Hugging Face page is the current listed source, but its accessible content provides limited model-specific documentation beyond the repository identity and image-text-to-text classification. Developers should therefore treat compatibility with a particular runtime, tool-calling format, and vision workflow as unverified until tested against the model files and implementation details.
tool-callingreasoning
- Size
- 9B parameters
- License tag
- Check source card
Verify model card ↗Ollama · directory match
Code generation model based on Code Llama.
coding
- Size
- 34B parameters
- License tag
- Check source card
Verify model card ↗Ollama · directory match
A large language model that can use text prompts to generate and discuss code.
coding
- Size
- 7B parameters
- License tag
- Check source card
Verify model card ↗Ollama · directory match
Great code generation model based on Llama2.
coding
- Size
- 13B parameters
- License tag
- Check source card
Verify model card ↗Ollama · directory match
A large language model that can use text prompts to generate and discuss code.
coding
- Size
- 34B parameters
- License tag
- Check source card
Verify model card ↗Ollama · directory match
A large language model that can use text prompts to generate and discuss code.
coding
- Size
- 70B parameters
- License tag
- Check source card
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