Instructions to use Cialtion/SimpleLove 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 Cialtion/SimpleLove 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 Cialtion/SimpleLove:Q4_K_M # Run inference directly in the terminal: llama cli -hf Cialtion/SimpleLove:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Cialtion/SimpleLove:Q4_K_M # Run inference directly in the terminal: llama cli -hf Cialtion/SimpleLove: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 Cialtion/SimpleLove:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Cialtion/SimpleLove: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 Cialtion/SimpleLove:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Cialtion/SimpleLove:Q4_K_M
Use Docker
docker model run hf.co/Cialtion/SimpleLove:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Cialtion/SimpleLove with Ollama:
ollama run hf.co/Cialtion/SimpleLove:Q4_K_M
- Unsloth Studio
How to use Cialtion/SimpleLove 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 Cialtion/SimpleLove 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 Cialtion/SimpleLove to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Cialtion/SimpleLove to start chatting
- Pi
How to use Cialtion/SimpleLove with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Cialtion/SimpleLove:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "Cialtion/SimpleLove:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- OpenClaw new
How to use Cialtion/SimpleLove with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Cialtion/SimpleLove:Q4_K_M
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "Cialtion/SimpleLove:Q4_K_M" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
- Docker Model Runner
How to use Cialtion/SimpleLove with Docker Model Runner:
docker model run hf.co/Cialtion/SimpleLove:Q4_K_M
- Lemonade
How to use Cialtion/SimpleLove with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Cialtion/SimpleLove:Q4_K_M
Run and chat with the model
lemonade run user.SimpleLove-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use Cialtion/SimpleLove with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Cialtion/SimpleLove:Q4_K_M
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default Cialtion/SimpleLove:Q4_K_M
Run Hermes
hermes
- Atomic Chat
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- step-2000/chat_template.jinja +61 -0
- step-2000/config.json +71 -0
- step-2000/generation_config.json +13 -0
- step-2000/model.safetensors +3 -0
- step-2000/special_tokens_embeddings.pt +3 -0
- step-2000/tokenizer.json +3 -0
- step-2000/tokenizer_config.json +46 -0
.gitattributes
CHANGED
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@@ -45,3 +45,4 @@ merged_step-2800/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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qwen3-4b-q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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qwen3-4b-f16.gguf filter=lfs diff=lfs merge=lfs -text
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qwen3-4b-q4km.gguf filter=lfs diff=lfs merge=lfs -text
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qwen3-4b-q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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qwen3-4b-q4km.gguf filter=lfs diff=lfs merge=lfs -text
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step-2000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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step-2000/chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- for message in messages %}
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{%- if message.content is string %}
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{%- set content = message.content %}
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{%- else %}
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{%- set content = '' %}
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{%- endif %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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| 60 |
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{{- '<|im_start|>assistant\n' }}
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{%- endif %}
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step-2000/config.json
ADDED
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{
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"architectures": [
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"Qwen3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"dtype": "bfloat16",
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 2560,
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"initializer_range": 0.02,
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"intermediate_size": 9728,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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+
],
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| 53 |
+
"max_position_embeddings": 262144,
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| 54 |
+
"max_window_layers": 36,
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| 55 |
+
"model_type": "qwen3",
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| 56 |
+
"num_attention_heads": 32,
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| 57 |
+
"num_hidden_layers": 36,
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| 58 |
+
"num_key_value_heads": 8,
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| 59 |
+
"pad_token_id": null,
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| 60 |
+
"rms_norm_eps": 1e-06,
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| 61 |
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"rope_parameters": {
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| 62 |
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"rope_theta": 5000000,
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| 63 |
+
"rope_type": "default"
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},
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"sliding_window": null,
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"tie_word_embeddings": true,
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"transformers_version": "5.2.0",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151686
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}
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step-2000/generation_config.json
ADDED
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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],
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"pad_token_id": 151643,
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"temperature": 0.7,
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| 10 |
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"top_k": 20,
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| 11 |
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"top_p": 0.8,
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| 12 |
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"transformers_version": "5.2.0"
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}
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step-2000/model.safetensors
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:2da5157c33f0b16d71bc2d24178f4be65066d1ee1e0788fe5bfbe8c9b6a15d7f
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| 3 |
+
size 8820334520
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step-2000/special_tokens_embeddings.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:1075efff060724443eb1698b0da8a291547ee5a9fadfbf7caeb928e5b6cf5a1a
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| 3 |
+
size 93454
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step-2000/tokenizer.json
ADDED
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+
version https://git-lfs.github.com/spec/v1
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+
oid sha256:2359dbc3a9fae0296dda2e30fdcb2bccc2fad1d7ea0138eb2b74fdb730652cbb
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| 3 |
+
size 11425785
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step-2000/tokenizer_config.json
ADDED
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{
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"add_prefix_space": false,
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"backend": "tokenizers",
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| 4 |
+
"bos_token": null,
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| 5 |
+
"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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| 8 |
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"extra_special_tokens": [
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| 9 |
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"<|im_start|>",
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"<|im_end|>",
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"<|object_ref_start|>",
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"<|object_ref_end|>",
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"<|box_start|>",
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"<|box_end|>",
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"<|quad_start|>",
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"<|quad_end|>",
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"<|vision_start|>",
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"<|vision_end|>",
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"<|vision_pad|>",
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"<|image_pad|>",
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"<|video_pad|>",
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"<content>",
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"</content>",
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"<function>",
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"</function>",
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"<arg1>",
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"</arg1>",
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"<arg2>",
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"</arg2>",
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"<arg3>",
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"</arg3>",
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+
"<arg4>",
|
| 33 |
+
"</arg4>",
|
| 34 |
+
"<arg5>",
|
| 35 |
+
"</arg5>",
|
| 36 |
+
"<arg6>",
|
| 37 |
+
"</arg6>",
|
| 38 |
+
"<|null|>"
|
| 39 |
+
],
|
| 40 |
+
"is_local": true,
|
| 41 |
+
"model_max_length": 1010000,
|
| 42 |
+
"pad_token": "<|endoftext|>",
|
| 43 |
+
"split_special_tokens": false,
|
| 44 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 45 |
+
"unk_token": null
|
| 46 |
+
}
|