H34v7 - Models Merge and Collections GGUF/i1-GGUF
Collection
7 items • Updated
How to use h34v7/DXP-Zero-V1.0-24b-Small-Instruct-i1-GGUF with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf h34v7/DXP-Zero-V1.0-24b-Small-Instruct-i1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf h34v7/DXP-Zero-V1.0-24b-Small-Instruct-i1-GGUF:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf h34v7/DXP-Zero-V1.0-24b-Small-Instruct-i1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf h34v7/DXP-Zero-V1.0-24b-Small-Instruct-i1-GGUF:Q4_K_M
# 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 h34v7/DXP-Zero-V1.0-24b-Small-Instruct-i1-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf h34v7/DXP-Zero-V1.0-24b-Small-Instruct-i1-GGUF:Q4_K_M
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 h34v7/DXP-Zero-V1.0-24b-Small-Instruct-i1-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf h34v7/DXP-Zero-V1.0-24b-Small-Instruct-i1-GGUF:Q4_K_M
docker model run hf.co/h34v7/DXP-Zero-V1.0-24b-Small-Instruct-i1-GGUF:Q4_K_M
How to use h34v7/DXP-Zero-V1.0-24b-Small-Instruct-i1-GGUF with Ollama:
ollama run hf.co/h34v7/DXP-Zero-V1.0-24b-Small-Instruct-i1-GGUF:Q4_K_M
How to use h34v7/DXP-Zero-V1.0-24b-Small-Instruct-i1-GGUF with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for h34v7/DXP-Zero-V1.0-24b-Small-Instruct-i1-GGUF to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for h34v7/DXP-Zero-V1.0-24b-Small-Instruct-i1-GGUF to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for h34v7/DXP-Zero-V1.0-24b-Small-Instruct-i1-GGUF to start chatting
How to use h34v7/DXP-Zero-V1.0-24b-Small-Instruct-i1-GGUF with Docker Model Runner:
docker model run hf.co/h34v7/DXP-Zero-V1.0-24b-Small-Instruct-i1-GGUF:Q4_K_M
How to use h34v7/DXP-Zero-V1.0-24b-Small-Instruct-i1-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull h34v7/DXP-Zero-V1.0-24b-Small-Instruct-i1-GGUF:Q4_K_M
lemonade run user.DXP-Zero-V1.0-24b-Small-Instruct-i1-GGUF-Q4_K_M
lemonade list
BF16 available here.
"temperature": 0.8,
"top_k": 40,
"top_p": 0.95,
"min_p": 0.05,
"repeat_last_n": 40,
"repeat_penalty": 1.2,
These are non-imatrix. I'll release the imatrix version later.
GGUF 3-bit Q3_K_M about 27 GB of vRAM/RAM:
ollama run hf.co/h34v7/DXP-Zero-V1.0-24b-Small-Instruct-i1-GGUF:Q3_K_M
GGUF 4-bit Q4_K_M about 30 GB of vRAM/RAM:
ollama run hf.co/h34v7/DXP-Zero-V1.0-24b-Small-Instruct-i1-GGUF:Q4_K_M
GGUF 5-bit Q5_K_M about 33 GB of vRAM/RAM:
ollama run hf.co/h34v7/DXP-Zero-V1.0-24b-Small-Instruct-i1-GGUF:Q5_K_M
3-bit
4-bit
5-bit
Base model
h34v7/DXP-Zero-V1.0-24b-Small-Instruct