Transformers
PyTorch
Safetensors
GGUF
English
llama
text-generation-inference
unsloth
trl
sft
8-bit precision
Instructions to use DeveloperZoyel/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeveloperZoyel/model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DeveloperZoyel/model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use DeveloperZoyel/model 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 DeveloperZoyel/model:Q8_0 # Run inference directly in the terminal: llama cli -hf DeveloperZoyel/model:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf DeveloperZoyel/model:Q8_0 # Run inference directly in the terminal: llama cli -hf DeveloperZoyel/model:Q8_0
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 DeveloperZoyel/model:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf DeveloperZoyel/model:Q8_0
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 DeveloperZoyel/model:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf DeveloperZoyel/model:Q8_0
Use Docker
docker model run hf.co/DeveloperZoyel/model:Q8_0
- LM Studio
- Jan
- Ollama
How to use DeveloperZoyel/model with Ollama:
ollama run hf.co/DeveloperZoyel/model:Q8_0
- Unsloth Studio
How to use DeveloperZoyel/model with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
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 DeveloperZoyel/model to start chatting
Install Unsloth Studio (Windows)
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 DeveloperZoyel/model to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for DeveloperZoyel/model to start chatting
- Docker Model Runner
How to use DeveloperZoyel/model with Docker Model Runner:
docker model run hf.co/DeveloperZoyel/model:Q8_0
- Lemonade
How to use DeveloperZoyel/model with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull DeveloperZoyel/model:Q8_0
Run and chat with the model
lemonade run user.model-Q8_0
List all available models
lemonade list
- Atomic Chat
Developer Zoyel commited on
Trained with Unsloth
Browse filesUpload model trained with Unsloth 2x faster
- config.json +12 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +0 -0
config.json
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"num_key_value_heads": 8,
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"pad_token_id": 128004,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 8.0,
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"num_key_value_heads": 8,
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"pad_token_id": 128004,
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"pretraining_tp": 1,
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"quantization_config": {
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"bnb_4bit_compute_dtype": "float16",
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"bnb_4bit_quant_type": "nf4",
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"bnb_4bit_use_double_quant": true,
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"llm_int8_enable_fp32_cpu_offload": false,
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"llm_int8_has_fp16_weight": false,
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"llm_int8_skip_modules": null,
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"llm_int8_threshold": 6.0,
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"load_in_4bit": true,
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"load_in_8bit": false,
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"quant_method": "bitsandbytes"
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},
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 8.0,
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model-00001-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fc42b9c86089e414ce8038457e88709948437a9e74bf307ef68496a6d6654adf
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size 4652072833
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model-00002-of-00002.safetensors
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oid sha256:2b9f8fb3a26772f655e8508705dc914ca71e511cdb96ac35b11daa6958e64dc1
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size 1050673280
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model.safetensors.index.json
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