Instructions to use fatihburakkaragoz/EksiZeka 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 fatihburakkaragoz/EksiZeka 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 fatihburakkaragoz/EksiZeka:Q4_1 # Run inference directly in the terminal: llama cli -hf fatihburakkaragoz/EksiZeka:Q4_1
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf fatihburakkaragoz/EksiZeka:Q4_1 # Run inference directly in the terminal: llama cli -hf fatihburakkaragoz/EksiZeka:Q4_1
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 fatihburakkaragoz/EksiZeka:Q4_1 # Run inference directly in the terminal: ./llama-cli -hf fatihburakkaragoz/EksiZeka:Q4_1
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 fatihburakkaragoz/EksiZeka:Q4_1 # Run inference directly in the terminal: ./build/bin/llama-cli -hf fatihburakkaragoz/EksiZeka:Q4_1
Use Docker
docker model run hf.co/fatihburakkaragoz/EksiZeka:Q4_1
- LM Studio
- Jan
- Ollama
How to use fatihburakkaragoz/EksiZeka with Ollama:
ollama run hf.co/fatihburakkaragoz/EksiZeka:Q4_1
- Unsloth Desktop
- Docker Model Runner
How to use fatihburakkaragoz/EksiZeka with Docker Model Runner:
docker model run hf.co/fatihburakkaragoz/EksiZeka:Q4_1
- Lemonade
How to use fatihburakkaragoz/EksiZeka with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull fatihburakkaragoz/EksiZeka:Q4_1
Run and chat with the model
lemonade run user.EksiZeka-Q4_1
List all available models
lemonade list
- Atomic Chat
| { | |
| "_name_or_path": "Trendyol/Trendyol-LLM-7b-chat-v0.1", | |
| "architectures": [ | |
| "LlamaForCausalLM" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "hidden_act": "silu", | |
| "hidden_size": 4096, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 11008, | |
| "max_position_embeddings": 4096, | |
| "model_type": "llama", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 32, | |
| "num_key_value_heads": 32, | |
| "pretraining_tp": 1, | |
| "rms_norm_eps": 1e-05, | |
| "rope_scaling": null, | |
| "rope_theta": 10000.0, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.40.0", | |
| "use_cache": true, | |
| "vocab_size": 44222 | |
| } | |