Instructions to use Trelis/Llama-2-7b-chat-hf-function-calling-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Trelis/Llama-2-7b-chat-hf-function-calling-v2 with Transformers:

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

pipe = pipeline("text-generation", model="Trelis/Llama-2-7b-chat-hf-function-calling-v2")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Trelis/Llama-2-7b-chat-hf-function-calling-v2")
model = AutoModelForCausalLM.from_pretrained("Trelis/Llama-2-7b-chat-hf-function-calling-v2")

llama-cpp-python

How to use Trelis/Llama-2-7b-chat-hf-function-calling-v2 with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Trelis/Llama-2-7b-chat-hf-function-calling-v2",
	filename="ggml-vocab-llama.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Inference
Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use Trelis/Llama-2-7b-chat-hf-function-calling-v2 with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Trelis/Llama-2-7b-chat-hf-function-calling-v2:Q3_K_M
# Run inference directly in the terminal:
llama-cli -hf Trelis/Llama-2-7b-chat-hf-function-calling-v2:Q3_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Trelis/Llama-2-7b-chat-hf-function-calling-v2:Q3_K_M
# Run inference directly in the terminal:
llama-cli -hf Trelis/Llama-2-7b-chat-hf-function-calling-v2:Q3_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 Trelis/Llama-2-7b-chat-hf-function-calling-v2:Q3_K_M
# Run inference directly in the terminal:
./llama-cli -hf Trelis/Llama-2-7b-chat-hf-function-calling-v2:Q3_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 Trelis/Llama-2-7b-chat-hf-function-calling-v2:Q3_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Trelis/Llama-2-7b-chat-hf-function-calling-v2:Q3_K_M

Use Docker

docker model run hf.co/Trelis/Llama-2-7b-chat-hf-function-calling-v2:Q3_K_M

LM Studio
Jan

vLLM

How to use Trelis/Llama-2-7b-chat-hf-function-calling-v2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Trelis/Llama-2-7b-chat-hf-function-calling-v2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Trelis/Llama-2-7b-chat-hf-function-calling-v2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Trelis/Llama-2-7b-chat-hf-function-calling-v2:Q3_K_M

SGLang

How to use Trelis/Llama-2-7b-chat-hf-function-calling-v2 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 "Trelis/Llama-2-7b-chat-hf-function-calling-v2" \
    --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": "Trelis/Llama-2-7b-chat-hf-function-calling-v2",
		"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 "Trelis/Llama-2-7b-chat-hf-function-calling-v2" \
        --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": "Trelis/Llama-2-7b-chat-hf-function-calling-v2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Ollama
How to use Trelis/Llama-2-7b-chat-hf-function-calling-v2 with Ollama:
```
ollama run hf.co/Trelis/Llama-2-7b-chat-hf-function-calling-v2:Q3_K_M
```

Unsloth Studio new

How to use Trelis/Llama-2-7b-chat-hf-function-calling-v2 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 Trelis/Llama-2-7b-chat-hf-function-calling-v2 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 Trelis/Llama-2-7b-chat-hf-function-calling-v2 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Trelis/Llama-2-7b-chat-hf-function-calling-v2 to start chatting

Docker Model Runner
How to use Trelis/Llama-2-7b-chat-hf-function-calling-v2 with Docker Model Runner:
```
docker model run hf.co/Trelis/Llama-2-7b-chat-hf-function-calling-v2:Q3_K_M
```

Lemonade

How to use Trelis/Llama-2-7b-chat-hf-function-calling-v2 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Trelis/Llama-2-7b-chat-hf-function-calling-v2:Q3_K_M

Run and chat with the model

lemonade run user.Llama-2-7b-chat-hf-function-calling-v2-Q3_K_M

List all available models

lemonade list

RonanMcGovern commited on Oct 11, 2023

Commit

d06f7b2

1 Parent(s): 02c8b65

Upload tokenizer

Browse files

Files changed (2) hide show

special_tokens_map.json +3 -21
tokenizer_config.json +31 -24

special_tokens_map.json CHANGED Viewed

@@ -1,23 +1,5 @@
 {
-  "bos_token": {
-    "content": "<s>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "eos_token": {
-    "content": "</s>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "unk_token": {
-    "content": "<unk>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  }
 }

 {
+  "bos_token": "<s>",
+  "eos_token": "</s>",
+  "unk_token": "<unk>"
 }

tokenizer_config.json CHANGED Viewed

@@ -1,33 +1,40 @@
 {
-  "bos_token": {
-    "__type": "AddedToken",
-    "content": "<s>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
   },
   "clean_up_tokenization_spaces": false,
-  "eos_token": {
-    "__type": "AddedToken",
-    "content": "</s>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
   "legacy": false,
   "model_max_length": 1000000000000000019884624838656,
   "pad_token": null,
   "sp_model_kwargs": {},
   "tokenizer_class": "LlamaTokenizer",
-  "unk_token": {
-    "__type": "AddedToken",
-    "content": "<unk>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "use_fast": false
 }

 {
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
   },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
   "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
   "legacy": false,
   "model_max_length": 1000000000000000019884624838656,
   "pad_token": null,
+  "padding_side": "right",
   "sp_model_kwargs": {},
   "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true
 }