Not-For-All-Audiences

Instructions to use lemonilia/Limamono-Mistral-7B-v0.50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use lemonilia/Limamono-Mistral-7B-v0.50 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="lemonilia/Limamono-Mistral-7B-v0.50")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("lemonilia/Limamono-Mistral-7B-v0.50")
model = AutoModelForCausalLM.from_pretrained("lemonilia/Limamono-Mistral-7B-v0.50", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use lemonilia/Limamono-Mistral-7B-v0.50 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 lemonilia/Limamono-Mistral-7B-v0.50:Q2_K
# Run inference directly in the terminal:
llama cli -hf lemonilia/Limamono-Mistral-7B-v0.50:Q2_K

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf lemonilia/Limamono-Mistral-7B-v0.50:Q2_K
# Run inference directly in the terminal:
llama cli -hf lemonilia/Limamono-Mistral-7B-v0.50:Q2_K

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 lemonilia/Limamono-Mistral-7B-v0.50:Q2_K
# Run inference directly in the terminal:
./llama-cli -hf lemonilia/Limamono-Mistral-7B-v0.50:Q2_K

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 lemonilia/Limamono-Mistral-7B-v0.50:Q2_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf lemonilia/Limamono-Mistral-7B-v0.50:Q2_K

Use Docker

docker model run hf.co/lemonilia/Limamono-Mistral-7B-v0.50:Q2_K

LM Studio
Jan

vLLM

How to use lemonilia/Limamono-Mistral-7B-v0.50 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "lemonilia/Limamono-Mistral-7B-v0.50"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "lemonilia/Limamono-Mistral-7B-v0.50",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/lemonilia/Limamono-Mistral-7B-v0.50:Q2_K

SGLang

How to use lemonilia/Limamono-Mistral-7B-v0.50 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "lemonilia/Limamono-Mistral-7B-v0.50" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "lemonilia/Limamono-Mistral-7B-v0.50",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "lemonilia/Limamono-Mistral-7B-v0.50" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "lemonilia/Limamono-Mistral-7B-v0.50",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Ollama
How to use lemonilia/Limamono-Mistral-7B-v0.50 with Ollama:
```
ollama run hf.co/lemonilia/Limamono-Mistral-7B-v0.50:Q2_K
```
Unsloth Desktop
Docker Model Runner
How to use lemonilia/Limamono-Mistral-7B-v0.50 with Docker Model Runner:
```
docker model run hf.co/lemonilia/Limamono-Mistral-7B-v0.50:Q2_K
```

Lemonade

How to use lemonilia/Limamono-Mistral-7B-v0.50 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull lemonilia/Limamono-Mistral-7B-v0.50:Q2_K

Run and chat with the model

lemonade run user.Limamono-Mistral-7B-v0.50-Q2_K

List all available models

lemonade list

Atomic Chat

lemonilia commited on Dec 9, 2023

Commit

d3b8142

1 Parent(s): d05922d

Upload 2 files

Browse files

Files changed (2) hide show

SillyTavern Settings/Limamono_context.json +8 -15
SillyTavern Settings/Limamono_instruct.json +15 -8

SillyTavern Settings/Limamono_context.json CHANGED Viewed

@@ -1,18 +1,11 @@
 {
-    "wrap": true,
-    "names": true,
-    "system_prompt": "Below is an instruction that describes background information for a chat. Write appropriate responses for both the instruction and user input.",
-    "system_sequence": "<<SYSTEM>>",
-    "stop_sequence": "###",
-    "input_sequence": "\n### Input: (length = tiny)",
-    "output_sequence": "\n### Response:",
-    "separator_sequence": "",
-    "macro": true,
-    "names_force_groups": false,
-    "last_output_sequence": "\n### Response: (length = long)",
-    "activation_regex": "",
-    "system_sequence_prefix": "",
-    "system_sequence_suffix": "\n### Instruction:",
-    "first_output_sequence": "",
     "name": "Limamono"
 }

 {
+    "story_string": "{{system}}\n{{char}}\n{{description}}\n{{#if persona}}- {{user}}'s persona: {{persona}}{{/if}}\n\n{{#if scenario}}\nScenario: {{scenario}}{{/if}}",
+    "example_separator": "",
+    "chat_start": "",
+    "use_stop_strings": false,
+    "always_force_name2": true,
+    "trim_sentences": false,
+    "include_newline": false,
+    "single_line": false,
     "name": "Limamono"
 }

SillyTavern Settings/Limamono_instruct.json CHANGED Viewed

@@ -1,11 +1,18 @@
 {
-    "story_string": "{{system}}\n{{char}}\n{{description}}\n{{#if persona}}- {{user}}'s persona: {{persona}}{{/if}}\n\n{{#if scenario}}\nScenario: {{scenario}}{{/if}}",
-    "example_separator": "",
-    "chat_start": "",
-    "use_stop_strings": false,
-    "always_force_name2": true,
-    "trim_sentences": false,
-    "include_newline": false,
-    "single_line": false,
     "name": "Limamono"
 }

 {
+    "wrap": true,
+    "names": true,
+    "system_prompt": "Below is an instruction that describes background information for a chat. Write appropriate responses for both the instruction and user input.",
+    "system_sequence": "<<SYSTEM>>",
+    "stop_sequence": "###",
+    "input_sequence": "\n### Input: (length = tiny)",
+    "output_sequence": "\n### Response:",
+    "separator_sequence": "",
+    "macro": true,
+    "names_force_groups": false,
+    "last_output_sequence": "\n### Response: (length = long)",
+    "activation_regex": "",
+    "system_sequence_prefix": "",
+    "system_sequence_suffix": "\n### Instruction:",
+    "first_output_sequence": "",
     "name": "Limamono"
 }