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Both of them are included in a single file, which can be downloaded and run as follows:
wget https://huggingface
from the top result below
https://huggingface.co/Mozilla/Llama-3.2-1B-Instruct-llamafile
Both of them are included in a single file, which can be downloaded and run as follows:
wget https://huggingface
https://huggingface.co/Mozilla/Llama-3.2-3B-Instruct-llamafile
Both of them are included in a single file, which can be downloaded and run as follows:
wget https://huggingface
https://huggingface.co/blog/audio-datasets
If we hit the play button on the first sample, we can listen to the audio and see the corresponding text
https://huggingface.co/Mozilla/whisperfile
If you have the CUDA SDK installed on your system, then you can pass the --recompile flag to build a GGML CUDA library just for your system that uses cuBLAS
https://huggingface.co/papers?q=companion
If the sample is limited to luminous RSGs\nwith log L/L_{odot} > 4
https://huggingface.co/docs/hub/jobs-popular-images
A uv run --system-site-packages that would reuse the image’s packages and skip the reinstall is requested upstream
https://huggingface.co/docs/hub/agents-local
1:8080/v1" \
--custom-model-id "ggml-org-gemma-4-26b-a4b-gguf" \
--custom-api-key "llama
https://huggingface.co/docs/hub/eval-results
HF username/org
notes: "no-tools" # Optional
https://huggingface.co/docs/hub/jobs-configuration
A -- can be used to separate the command from jobs/uv options for clarity, e
https://huggingface.co/zai-org/GLM-5.3
tool_calls -%}\n {%- endif -%}\n {%- set ns_chk = namespace(can_sort=true) -%}\n {%- if not ns_a
https://huggingface.co/docs/hub/models-inference
1-dev"
)
Or, you can just use the OpenAI API compatible client
https://huggingface.co/Xenova/whisper-base.en
js)
If you haven't already, you can install the Transformers
https://huggingface.co/docs/hub/webhooks
co/openai-community/gpt2",
"api": "https://huggingface
https://huggingface.co/Grogros/Llama-3.2-1B-distillation-alpaca-5.0-AlpacaRefuse-sauce1-PT2/discussions
2","type":"license"},{"type":"region","label":"🇺🇸 Region: US","id":"region:us"}],"transformersInfo":{"auto_model":"AutoModelForCausalLM","pipeline_tag":"text-generation","processor":"AutoTokenizer"},"widgetData":[{"text":"Hi, what can you help me with
https://huggingface.co/docs/hub/repositories-next-steps
Duplicating programmatically
You can also duplicate repositories using the huggingface_hub library or CLI
https://huggingface.co/jaigouk/MetaMath-Cybertron-Starling-Ruby?local-app=docker-model-runner
+ '\n\n' }}{% elif message['role'] == 'assistant' %}{{ '<|assistant|>\n' + message['content'] + eos_token + '\n\n' }}{% endif %}{% if loop
https://huggingface.co/qianhuiwu/GUI-Actor-3B-Qwen2.5-VL-LiteTrain
<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count
https://huggingface.co/Rexhaif/Qwen3-4B-MTEval-SFT
:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]
https://huggingface.co/docs/hub/local-apps
👷 If you’re building a local app, you can learn about integrating with the Hub in this guide
https://huggingface.co/docs/hub/models-downloading
Using the Hugging Face Client Library
You can use the huggingface_hub library to create, delete, update and retrieve information from repos
https://huggingface.co/docs/hub/storage-buckets-integrations
parquet"])
Inspect AI
Inspect AI can write evaluation logs directly to a bucket — point its log directory at an hf://buckets/ path (requires huggingface_hub>=1
https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B
parameter\\nthat can span\\nmultiple lines\\n</parameter>\\n</function>\\n</tool_call>\\n\\n<IMPORTANT>\\nReminder:\\n- Function calls MUST follow the specified format: an inner <function
https://huggingface.co/datasets/microsoft/benchpress-score-matrix
\", \"range\": [0, 100], \"sampling\": \"pass@1; public harness default maxTurns=20\", \"tools\": \"agentic MCP servers in the official containerized harness\", \"version\": \"MCP-Atlas public 500-task HuggingFace release\"}"},"in_paper_matrix":{"kind":"bool","value":true,"string":"true"}}},{"rowIdx":9,"cells":
https://huggingface.co/docs/hub/agents-overview
Whether you’re chatting with Claude, building with Codex, or developing custom agents, you can access models, datasets, Spaces, and community tools
https://huggingface.co/papers?q=reflective%20essays
Hugging Face
Models
Datasets
Spaces
Buckets new
Docs
Enterprise
Pricing
Website
Tasks
HuggingChat
Collections
Languages
Organizations
Community
Blog
Posts
Daily Papers
Learn
Discord
Forum
GitHub
Solutions
Team & Enterprise
https://huggingface.co/koboldcpp/music/tree/main
cpp/releases
# Start a local OpenAI-compatible server with a web UI:
https://huggingface.co/docs/hub/agents-skills
Skills work with all major coding agents: Claude Code, OpenAI Codex, Google Gemini CLI, and Cursor
https://huggingface.co/baidu/Unlimited-OCR
Hugging Face
Models
Datasets
Spaces
Buckets new
Docs
Enterprise
Pricing
Website
Tasks
HuggingChat
Collections
Languages
Organizations
Community
Blog
Posts
Daily Papers
Hardware
Learn
Discord
Forum
GitHub
Solutions
Team
https://huggingface.co/KoboldAI/LLaMA2-13B-Tiefighter-GGUF/resolve/main/LLaMA2-13B-Tiefighter.Q4_K_S.gguf
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https://huggingface.co/unsloth/gemma-3-12b-it-GGUF/resolve/main/gemma-3-12b-it-Q4_K_M.gguf
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