Instructions to use uukuguy/speechless-zephyr-code-functionary-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use uukuguy/speechless-zephyr-code-functionary-7b with Transformers:

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

pipe = pipeline("text-generation", model="uukuguy/speechless-zephyr-code-functionary-7b")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("uukuguy/speechless-zephyr-code-functionary-7b")
model = AutoModelForCausalLM.from_pretrained("uukuguy/speechless-zephyr-code-functionary-7b")

llama-cpp-python

How to use uukuguy/speechless-zephyr-code-functionary-7b with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="uukuguy/speechless-zephyr-code-functionary-7b",
	filename="GGUF/speechless-zephyr-code-functionary-7b.Q4_K_M.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 uukuguy/speechless-zephyr-code-functionary-7b with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf uukuguy/speechless-zephyr-code-functionary-7b:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf uukuguy/speechless-zephyr-code-functionary-7b:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf uukuguy/speechless-zephyr-code-functionary-7b:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf uukuguy/speechless-zephyr-code-functionary-7b: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 uukuguy/speechless-zephyr-code-functionary-7b:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf uukuguy/speechless-zephyr-code-functionary-7b: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 uukuguy/speechless-zephyr-code-functionary-7b:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf uukuguy/speechless-zephyr-code-functionary-7b:Q4_K_M

Use Docker

docker model run hf.co/uukuguy/speechless-zephyr-code-functionary-7b:Q4_K_M

LM Studio
Jan

vLLM

How to use uukuguy/speechless-zephyr-code-functionary-7b with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/uukuguy/speechless-zephyr-code-functionary-7b:Q4_K_M

SGLang

How to use uukuguy/speechless-zephyr-code-functionary-7b 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 "uukuguy/speechless-zephyr-code-functionary-7b" \
    --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": "uukuguy/speechless-zephyr-code-functionary-7b",
		"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 "uukuguy/speechless-zephyr-code-functionary-7b" \
        --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": "uukuguy/speechless-zephyr-code-functionary-7b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Ollama
How to use uukuguy/speechless-zephyr-code-functionary-7b with Ollama:
```
ollama run hf.co/uukuguy/speechless-zephyr-code-functionary-7b:Q4_K_M
```

Unsloth Studio new

How to use uukuguy/speechless-zephyr-code-functionary-7b 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 uukuguy/speechless-zephyr-code-functionary-7b 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 uukuguy/speechless-zephyr-code-functionary-7b to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for uukuguy/speechless-zephyr-code-functionary-7b to start chatting

Docker Model Runner
How to use uukuguy/speechless-zephyr-code-functionary-7b with Docker Model Runner:
```
docker model run hf.co/uukuguy/speechless-zephyr-code-functionary-7b:Q4_K_M
```

Lemonade

How to use uukuguy/speechless-zephyr-code-functionary-7b with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull uukuguy/speechless-zephyr-code-functionary-7b:Q4_K_M

Run and chat with the model

lemonade run user.speechless-zephyr-code-functionary-7b-Q4_K_M

List all available models

lemonade list

leaderboard-pr-bot commited on Mar 4, 2024

Commit

6769098

verified ·

1 Parent(s): d66fc77

Adding Evaluation Results

Browse files

This is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr

The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.

If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions

Files changed (1) hide show

README.md +118 -1

README.md CHANGED Viewed

@@ -1,9 +1,112 @@
 ---
 language:
 - en
 library_name: transformers
 pipeline_tag: text-generation
-license: apache-2.0
 ---
 <p><h1> speechless-zephyr-code-functionary-7b </h1></p>
@@ -38,3 +141,17 @@ Code: https://github.com/uukuguy/multi_loras
 | GSM8K | 43.82 |
 | Average | 62.93 |

 ---
 language:
 - en
+license: apache-2.0
 library_name: transformers
 pipeline_tag: text-generation
+model-index:
+- name: speechless-zephyr-code-functionary-7b
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 61.52
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/speechless-zephyr-code-functionary-7b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 83.88
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/speechless-zephyr-code-functionary-7b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 64.71
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/speechless-zephyr-code-functionary-7b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 44.99
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/speechless-zephyr-code-functionary-7b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 78.69
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/speechless-zephyr-code-functionary-7b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 43.82
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/speechless-zephyr-code-functionary-7b
+      name: Open LLM Leaderboard
 ---
 <p><h1> speechless-zephyr-code-functionary-7b </h1></p>
 | GSM8K | 43.82 |
 | Average | 62.93 |
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_uukuguy__speechless-zephyr-code-functionary-7b)
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |62.93|
+|AI2 Reasoning Challenge (25-Shot)|61.52|
+|HellaSwag (10-Shot)              |83.88|
+|MMLU (5-Shot)                    |64.71|
+|TruthfulQA (0-shot)              |44.99|
+|Winogrande (5-shot)              |78.69|
+|GSM8k (5-shot)                   |43.82|