Instructions to use afrideva/Llama-68M-Chat-v1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use afrideva/Llama-68M-Chat-v1-GGUF 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 afrideva/Llama-68M-Chat-v1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf afrideva/Llama-68M-Chat-v1-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf afrideva/Llama-68M-Chat-v1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf afrideva/Llama-68M-Chat-v1-GGUF: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 afrideva/Llama-68M-Chat-v1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf afrideva/Llama-68M-Chat-v1-GGUF: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 afrideva/Llama-68M-Chat-v1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf afrideva/Llama-68M-Chat-v1-GGUF:Q4_K_M

Use Docker

docker model run hf.co/afrideva/Llama-68M-Chat-v1-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use afrideva/Llama-68M-Chat-v1-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "afrideva/Llama-68M-Chat-v1-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "afrideva/Llama-68M-Chat-v1-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/afrideva/Llama-68M-Chat-v1-GGUF:Q4_K_M

Ollama
How to use afrideva/Llama-68M-Chat-v1-GGUF with Ollama:
```
ollama run hf.co/afrideva/Llama-68M-Chat-v1-GGUF:Q4_K_M
```

Unsloth Studio

How to use afrideva/Llama-68M-Chat-v1-GGUF 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 afrideva/Llama-68M-Chat-v1-GGUF 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 afrideva/Llama-68M-Chat-v1-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for afrideva/Llama-68M-Chat-v1-GGUF to start chatting

Docker Model Runner
How to use afrideva/Llama-68M-Chat-v1-GGUF with Docker Model Runner:
```
docker model run hf.co/afrideva/Llama-68M-Chat-v1-GGUF:Q4_K_M
```

Lemonade

How to use afrideva/Llama-68M-Chat-v1-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull afrideva/Llama-68M-Chat-v1-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Llama-68M-Chat-v1-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

afrideva commited on Jan 17, 2024

Commit

4bcbc66

verified ·

1 Parent(s): 6e8333b

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+---
+base_model: Felladrin/Llama-68M-Chat-v1
+datasets:
+- THUDM/webglm-qa
+- databricks/databricks-dolly-15k
+- cognitivecomputations/wizard_vicuna_70k_unfiltered
+- totally-not-an-llm/EverythingLM-data-V3
+- Amod/mental_health_counseling_conversations
+- sablo/oasst2_curated
+- starfishmedical/webGPT_x_dolly
+- Open-Orca/OpenOrca
+- mlabonne/chatml_dpo_pairs
+inference: false
+language:
+- en
+license: apache-2.0
+model_creator: Felladrin
+model_name: Llama-68M-Chat-v1
+pipeline_tag: text-generation
+quantized_by: afrideva
+tags:
+- text-generation
+- gguf
+- ggml
+- quantized
+- q2_k
+- q3_k_m
+- q4_k_m
+- q5_k_m
+- q6_k
+- q8_0
+widget:
+- text: '<|im_start|>system
+    You are a knowledgeable assistant. Help the user as much as you can.<|im_end|>
+    <|im_start|>user
+    How to become healthier?<|im_end|>
+    <|im_start|>assistant'
+- text: '<|im_start|>system
+    You are a career counselor. The user will provide you with an individual looking
+    for guidance in their professional life, and your task is to assist them in determining
+    what careers they are most suited for based on their skills, interests, and experience.
+    You should also conduct research into the various options available, explain the
+    job market trends in different industries, and advice on which qualifications
+    would be beneficial for pursuing particular fields.<|im_end|>
+    <|im_start|>user
+    Heya!<|im_end|>
+    <|im_start|>assistant
+    Hi! How may I help you?<|im_end|>
+    <|im_start|>user
+    I am interested in developing a career in software engineering. What would you
+    recommend me to do?<|im_end|>
+    <|im_start|>assistant'
+- text: '<|im_start|>system
+    You are a helpful assistant who provides concise responses.<|im_end|>
+    <|im_start|>user
+    Hi!<|im_end|>
+    <|im_start|>assistant
+    Hello there! How may I help you?<|im_end|>
+    <|im_start|>user
+    I need to build a simple website. Where should I start learning about web development?<|im_end|>
+    <|im_start|>assistant'
+- text: '<|im_start|>system
+    You are a very creative assistant. User will give you a task, which you should
+    complete with all your knowledge.<|im_end|>
+    <|im_start|>user
+    Write the background story of an RPG game about wizards and dragons in a sci-fi
+    world.<|im_end|>
+    <|im_start|>assistant'
+---
+# Felladrin/Llama-68M-Chat-v1-GGUF
+Quantized GGUF model files for [Llama-68M-Chat-v1](https://huggingface.co/Felladrin/Llama-68M-Chat-v1) from [Felladrin](https://huggingface.co/Felladrin)
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [llama-68m-chat-v1.fp16.gguf](https://huggingface.co/afrideva/Llama-68M-Chat-v1-GGUF/resolve/main/llama-68m-chat-v1.fp16.gguf) | fp16 | 136.79 MB  |
+| [llama-68m-chat-v1.q2_k.gguf](https://huggingface.co/afrideva/Llama-68M-Chat-v1-GGUF/resolve/main/llama-68m-chat-v1.q2_k.gguf) | q2_k | 35.88 MB  |
+| [llama-68m-chat-v1.q3_k_m.gguf](https://huggingface.co/afrideva/Llama-68M-Chat-v1-GGUF/resolve/main/llama-68m-chat-v1.q3_k_m.gguf) | q3_k_m | 40.66 MB  |
+| [llama-68m-chat-v1.q4_k_m.gguf](https://huggingface.co/afrideva/Llama-68M-Chat-v1-GGUF/resolve/main/llama-68m-chat-v1.q4_k_m.gguf) | q4_k_m | 46.10 MB  |
+| [llama-68m-chat-v1.q5_k_m.gguf](https://huggingface.co/afrideva/Llama-68M-Chat-v1-GGUF/resolve/main/llama-68m-chat-v1.q5_k_m.gguf) | q5_k_m | 51.16 MB  |
+| [llama-68m-chat-v1.q6_k.gguf](https://huggingface.co/afrideva/Llama-68M-Chat-v1-GGUF/resolve/main/llama-68m-chat-v1.q6_k.gguf) | q6_k | 56.54 MB  |
+| [llama-68m-chat-v1.q8_0.gguf](https://huggingface.co/afrideva/Llama-68M-Chat-v1-GGUF/resolve/main/llama-68m-chat-v1.q8_0.gguf) | q8_0 | 73.02 MB  |
+## Original Model Card:
+# A Llama Chat Model of 68M Parameters
+- Base model: [JackFram/llama-68m](https://huggingface.co/JackFram/llama-68m)
+- Datasets:
+  - [THUDM/webglm-qa](https://huggingface.co/datasets/THUDM/webglm-qa)
+  - [databricks/databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k)
+  - [cognitivecomputations/wizard_vicuna_70k_unfiltered](https://huggingface.co/datasets/cognitivecomputations/wizard_vicuna_70k_unfiltered)
+  - [totally-not-an-llm/EverythingLM-data-V3](https://huggingface.co/datasets/totally-not-an-llm/EverythingLM-data-V3)
+  - [Amod/mental_health_counseling_conversations](https://huggingface.co/datasets/Amod/mental_health_counseling_conversations)
+  - [sablo/oasst2_curated](https://huggingface.co/datasets/sablo/oasst2_curated)
+  - [starfishmedical/webGPT_x_dolly](https://huggingface.co/datasets/starfishmedical/webGPT_x_dolly)
+  - [Open-Orca/OpenOrca](https://huggingface.co/datasets/Open-Orca/OpenOrca)
+  - [mlabonne/chatml_dpo_pairs](https://huggingface.co/datasets/mlabonne/chatml_dpo_pairs)
+- Availability in other ML formats:
+  - ONNX: [Felladrin/onnx-Llama-68M-Chat-v1](https://huggingface.co/Felladrin/onnx-Llama-68M-Chat-v1)
+## Recommended Prompt Format
+```
+<|im_start|>system
+{system_message}<|im_end|>
+<|im_start|>user
+{user_message}<|im_end|>
+<|im_start|>assistant
+```
+## Recommended Inference Parameters
+```yml
+penalty_alpha: 0.5
+top_k: 4
+```