Instructions to use andrijdavid/macaroni-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use andrijdavid/macaroni-7b with Transformers:

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

pipe = pipeline("text-generation", model="andrijdavid/macaroni-7b")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("andrijdavid/macaroni-7b")
model = AutoModelForCausalLM.from_pretrained("andrijdavid/macaroni-7b")

Inference
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use andrijdavid/macaroni-7b with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/andrijdavid/macaroni-7b

SGLang

How to use andrijdavid/macaroni-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 "andrijdavid/macaroni-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": "andrijdavid/macaroni-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 "andrijdavid/macaroni-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": "andrijdavid/macaroni-7b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use andrijdavid/macaroni-7b with Docker Model Runner:
```
docker model run hf.co/andrijdavid/macaroni-7b
```

andrijdavid

leaderboard-pr-bot commited on Mar 22, 2024

Commit

7fb4e4e

verified ·

1 Parent(s): e1c0fe2

Adding Evaluation Results (#1)

Browse files

- Adding Evaluation Results (68e2c89affc2e33b6406f91068e0330d073cba7d)

Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>

Files changed (1) hide show

README.md +120 -3

README.md CHANGED Viewed

@@ -1,10 +1,113 @@
 ---
 tags:
 - mistral
 - merge
-license: apache-2.0
-language:
-- en
 ---
 # Macaroni 7B
@@ -26,3 +129,17 @@ This is an experimental merge of pre-trained mistral language models with fblgit
   * Ethical Use: Users are encouraged to use The Model ethically and responsibly. The creator(s) disclaim any responsibility for misuse or unethical use of The Model.
   * Modifications: Any modifications made to The Model by third parties are the sole responsibility of the party making the modifications. The original creator(s) of The Model shall not be responsible for any modifications made by third parties.

 ---
+language:
+- en
+license: apache-2.0
 tags:
 - mistral
 - merge
+model-index:
+- name: macaroni-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: 73.12
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=andrijdavid/macaroni-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: 88.17
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=andrijdavid/macaroni-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: 64.58
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=andrijdavid/macaroni-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: 68.76
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=andrijdavid/macaroni-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: 84.37
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=andrijdavid/macaroni-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: 68.61
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=andrijdavid/macaroni-7b
+      name: Open LLM Leaderboard
 ---
 # Macaroni 7B
   * Ethical Use: Users are encouraged to use The Model ethically and responsibly. The creator(s) disclaim any responsibility for misuse or unethical use of The Model.
   * Modifications: Any modifications made to The Model by third parties are the sole responsibility of the party making the modifications. The original creator(s) of The Model shall not be responsible for any modifications made by third parties.
+# [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_andrijdavid__macaroni-7b)
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |74.60|
+|AI2 Reasoning Challenge (25-Shot)|73.12|
+|HellaSwag (10-Shot)              |88.17|
+|MMLU (5-Shot)                    |64.58|
+|TruthfulQA (0-shot)              |68.76|
+|Winogrande (5-shot)              |84.37|
+|GSM8k (5-shot)                   |68.61|