Text Generation
Transformers
GGUF
thinking
reasoning
instruct
Claude4.5-Opus
creative
creative writing
fiction writing
plot generation
sub-plot generation
story generation
scene continue
storytelling
fiction story
science fiction
romance
all genres
story
writing
vivid prosing
vivid writing
fiction
roleplaying
bfloat16
role play
128k context
llama3.3
llama-3
llama-3.3
unsloth
finetune
llama-cpp
gguf-my-repo
Instructions to use picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF:Q6_K # Run inference directly in the terminal: llama cli -hf picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF:Q6_K
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF:Q6_K # Run inference directly in the terminal: llama cli -hf picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF:Q6_K
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF:Q6_K # Run inference directly in the terminal: ./llama-cli -hf picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF:Q6_K
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF:Q6_K # Run inference directly in the terminal: ./build/bin/llama-cli -hf picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF:Q6_K
Use Docker
docker model run hf.co/picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF:Q6_K
- LM Studio
- Jan
- vLLM
How to use picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF:Q6_K
- SGLang
How to use picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Ollama
How to use picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF with Ollama:
ollama run hf.co/picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF:Q6_K
- Unsloth Desktop
- Docker Model Runner
How to use picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF with Docker Model Runner:
docker model run hf.co/picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF:Q6_K
- Lemonade
How to use picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF:Q6_K
Run and chat with the model
lemonade run user.Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF-Q6_K
List all available models
lemonade list
- Atomic Chat
Upload README.md with huggingface_hub
Browse files
README.md
ADDED
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---
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license: apache-2.0
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datasets:
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- TeichAI/claude-4.5-opus-high-reasoning-250x
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base_model: DavidAU/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning
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language:
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- en
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- fr
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- de
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- es
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- it
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- pt
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- zh
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- ja
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- ru
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- ko
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tags:
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- thinking
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- reasoning
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- instruct
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- Claude4.5-Opus
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- creative
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- creative writing
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- fiction writing
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- plot generation
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- sub-plot generation
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- story generation
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- scene continue
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- storytelling
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- fiction story
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- science fiction
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- romance
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- all genres
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- story
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+
- writing
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- vivid prosing
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- vivid writing
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- fiction
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- roleplaying
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- bfloat16
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- role play
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- 128k context
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- llama3.3
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- llama-3
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- llama-3.3
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- unsloth
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- finetune
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- llama-cpp
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- gguf-my-repo
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pipeline_tag: text-generation
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library_name: transformers
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---
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# picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF
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This model was converted to GGUF format from [`DavidAU/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning`](https://huggingface.co/DavidAU/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/DavidAU/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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```bash
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brew install llama.cpp
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```
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Invoke the llama.cpp server or the CLI.
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### CLI:
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```bash
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llama-cli --hf-repo picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF --hf-file llama3.3-8b-instruct-thinking-claude-4.5-opus-high-reasoning-q6_k.gguf -p "The meaning to life and the universe is"
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```
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### Server:
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```bash
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llama-server --hf-repo picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF --hf-file llama3.3-8b-instruct-thinking-claude-4.5-opus-high-reasoning-q6_k.gguf -c 2048
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```
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Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
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Step 1: Clone llama.cpp from GitHub.
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```
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git clone https://github.com/ggerganov/llama.cpp
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```
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Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
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```
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cd llama.cpp && LLAMA_CURL=1 make
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```
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Step 3: Run inference through the main binary.
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```
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./llama-cli --hf-repo picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF --hf-file llama3.3-8b-instruct-thinking-claude-4.5-opus-high-reasoning-q6_k.gguf -p "The meaning to life and the universe is"
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```
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or
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```
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./llama-server --hf-repo picroc/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-Q6_K-GGUF --hf-file llama3.3-8b-instruct-thinking-claude-4.5-opus-high-reasoning-q6_k.gguf -c 2048
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```
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