The request names a specific fine-tuned model, Llama-3.1-8B-Instruct-Fei-v1-Uncensored, which none of the sources list directly. The closest matches are hosts of Meta's 8B Llama instruct models: Replicate offers an 8B Llama instruct action 18, and NVIDIA's Brev page lists a Llama3.1-8b-instruct task 310. Ollama and OpenRouter also run open models, though no sources show this specific uncensored variant.
A question back: Which platform or hardware do you want to run it on: local machine, a hosted API, or a GPU cloud? The sources do not confirm that this exact uncensored fine-tune is hosted anywhere.
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Ollamaollama.comwebsite read, tools not yet checked
Runs open AI models locally or in the cloud on macOS, Windows and Linux, so a Llama 3.1 8B build can be pulled and run on your own machine 6.
+136 community tools built for it
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Sources
- 1Replicate - Run AI with an APIreplicate.com · read 2026-10-29
- 3Brev.dev Consolebrev.nvidia.com · read 2026-10-29
- 6Ollama · Run AI models locally and in the cloudollama.com · read 2026-10-29
- 7OpenRouteropenrouter.ai · read 2026-10-29
- 8meta/meta-llama-3-8b-instruct: declares "meta/meta-llama-3-8b-instruct" (the record we read and signed)unfragile.ai · read 2026-10-24
- 10Llama-3.1-8B-Instruct: declares "llama3.1-8b-instruct" (the record we read and signed)unfragile.ai · read 2026-10-24
- 14Meta: Llama 3.1 8B Instruct: declares "text->text" (the record we read and signed)unfragile.ai · read 2026-10-24
For agents: the 10 actions behind this answer
meta/meta-llama-3-8b-instruct · meta/meta-llama-3-8b-instruct verified and signed
An 8 billion parameter language model from Meta, fine tuned for chat completions
meta/meta-llama-3-70b-instruct · meta/meta-llama-3-70b-instruct verified and signed
A 70 billion parameter language model from Meta, fine tuned for chat completions
ibm-granite/granite-3.1-8b-instruct · ibm-granite/granite-3.1-8b-instruct verified and signed
Granite-3.1-8B-Instruct is a lightweight and open-source 8B parameter model is designed to excel in instruction following tasks such as summarization, problem-solving, text translation, reasoning, code tasks, function-calling, and more.
ibm-granite/granite-3.3-8b-instruct · ibm-granite/granite-3.3-8b-instruct verified and signed
Granite-3.3-8B-Instruct is a 8-billion parameter 128K context length language model fine-tuned for improved reasoning and instruction-following capabilities.
llm · mistral-vibe verified and signed
llama3.1-8b-instruct · Llama-3.1-8B-Instruct verified and signed
Task: Llama3.1-8b-instruct
meta/llama-4-maverick-instruct · meta/llama-4-maverick-instruct verified and signed
A 17 billion parameter model with 128 experts
ibm-granite/granite-3.2-8b-instruct · ibm-granite/granite-3.2-8b-instruct verified and signed
Granite-3.2-8B-Instruct is a 8-billion parameter 128K context length language model fine-tuned for reasoning and instruction-following capabilities.
mikeei/dolphin-2.9.1-llama3-8b-gguf · mikeei/dolphin-2.9.1-llama3-8b-gguf verified and signed
Dolphin is uncensored. I have filtered the dataset to remove alignment and bias. This makes the model more compliant.
meta/llama-4-scout-instruct · meta/llama-4-scout-instruct verified and signed
A 17 billion parameter model with 16 experts
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.