Instructions to use ramgpt/Step-3.5-Flash-GGUF-Q4_K_M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use ramgpt/Step-3.5-Flash-GGUF-Q4_K_M 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 ramgpt/Step-3.5-Flash-GGUF-Q4_K_M:Q4_K_M # Run inference directly in the terminal: llama cli -hf ramgpt/Step-3.5-Flash-GGUF-Q4_K_M:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ramgpt/Step-3.5-Flash-GGUF-Q4_K_M:Q4_K_M # Run inference directly in the terminal: llama cli -hf ramgpt/Step-3.5-Flash-GGUF-Q4_K_M:Q4_K_M
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 ramgpt/Step-3.5-Flash-GGUF-Q4_K_M:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf ramgpt/Step-3.5-Flash-GGUF-Q4_K_M:Q4_K_M
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 ramgpt/Step-3.5-Flash-GGUF-Q4_K_M:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf ramgpt/Step-3.5-Flash-GGUF-Q4_K_M:Q4_K_M
Use Docker
docker model run hf.co/ramgpt/Step-3.5-Flash-GGUF-Q4_K_M:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use ramgpt/Step-3.5-Flash-GGUF-Q4_K_M with Ollama:
ollama run hf.co/ramgpt/Step-3.5-Flash-GGUF-Q4_K_M:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use ramgpt/Step-3.5-Flash-GGUF-Q4_K_M with Docker Model Runner:
docker model run hf.co/ramgpt/Step-3.5-Flash-GGUF-Q4_K_M:Q4_K_M
- Lemonade
How to use ramgpt/Step-3.5-Flash-GGUF-Q4_K_M with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ramgpt/Step-3.5-Flash-GGUF-Q4_K_M:Q4_K_M
Run and chat with the model
lemonade run user.Step-3.5-Flash-GGUF-Q4_K_M-Q4_K_M
List all available models
lemonade list
- Atomic Chat
stepfun-ai-Step-3.5-Flash.F16.Q4_K_M.gguf
Overview (EN)
This repository provides a q4_k_m-quantized GGUF file derived from stepfun-ai/Step-3.5-Flash.
Quick Start (llama.cpp)
./build/bin/llama-cli -m stepfun-ai-Step-3.5-Flash.F16.Q4_K_M.gguf -p "Hello"
Quantization
- Format: GGUF
- Method: q4_k_m
- File:
stepfun-ai-Step-3.5-Flash.F16.Q4_K_M.gguf - Size: ~110.44 GB
Provenance
- Base model:
stepfun-ai/Step-3.5-Flash
Note: This repo contains inference-only quantized weights. Respect the upstream license and usage terms.
Présentation (FR)
Ce dépôt fournit un fichier GGUF q4_k_m issu de stepfun-ai/Step-3.5-Flash.
Démarrage rapide (llama.cpp)
./build/bin/llama-cli -m stepfun-ai-Step-3.5-Flash.F16.Q4_K_M.gguf -p "Bonjour"
Quantification
- Format : GGUF
- Méthode : q4_k_m
- Fichier :
stepfun-ai-Step-3.5-Flash.F16.Q4_K_M.gguf - Taille : ~110.44 Go
Provenance
- Modèle amont :
stepfun-ai/Step-3.5-Flash
Remarque : Ce dépôt contient uniquement des poids quantifiés pour l'inférence. Merci de respecter la licence et les conditions d'utilisation du modèle d'origine.
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Model tree for ramgpt/Step-3.5-Flash-GGUF-Q4_K_M
Base model
stepfun-ai/Step-3.5-Flash