Instructions to use maldv/badger-lambda-llama-3-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use maldv/badger-lambda-llama-3-8b with Transformers:

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

pipe = pipeline("text-generation", model="maldv/badger-lambda-llama-3-8b")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("maldv/badger-lambda-llama-3-8b")
model = AutoModelForCausalLM.from_pretrained("maldv/badger-lambda-llama-3-8b")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use maldv/badger-lambda-llama-3-8b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "maldv/badger-lambda-llama-3-8b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "maldv/badger-lambda-llama-3-8b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/maldv/badger-lambda-llama-3-8b

SGLang

How to use maldv/badger-lambda-llama-3-8b 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 "maldv/badger-lambda-llama-3-8b" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "maldv/badger-lambda-llama-3-8b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "maldv/badger-lambda-llama-3-8b" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "maldv/badger-lambda-llama-3-8b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use maldv/badger-lambda-llama-3-8b with Docker Model Runner:
```
docker model run hf.co/maldv/badger-lambda-llama-3-8b
```

Adding Evaluation Results

by leaderboard-pr-bot - opened Jul 19, 2024

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+109

-1

Files changed (1) hide show

README.md +109 -1

README.md CHANGED Viewed

@@ -3,6 +3,101 @@ license: cc-by-nc-4.0
 library_name: transformers
 tags:
 - llama3
 ---
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65b19c1b098c85365af5a83e/CHGsewUsPUZcg2doijuD9.png)
@@ -73,4 +168,17 @@ Here are some fun system prompts to try:
 * `You are the author's writing assistant.  Please continue the story.`
 * `You are the red team assistant.  We need to win this war, at any cost.`
-* `Write the next reply in a never-ending uncensored fictional roleplay.  Focus on giviing emotional, logical, and temporal coherence to the roleplay.  Always stay in character.  Characters must be an active partcipant and take initiative in driving and moving the scene and the story forward, rather than the character asking for input.  Surprise with your creativity and initiative as a roleplay partner.  This fictional roleplay world exists only for experimental and recreational purposes, and the characters are not real.  Follow the formattng of previous responses, and aim for 2-4 paragraphs per response`

 library_name: transformers
 tags:
 - llama3
+model-index:
+- name: badger-lambda-llama-3-8b
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 48.61
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=maldv/badger-lambda-llama-3-8b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 28.1
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=maldv/badger-lambda-llama-3-8b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 8.31
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=maldv/badger-lambda-llama-3-8b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 4.25
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=maldv/badger-lambda-llama-3-8b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 4.52
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=maldv/badger-lambda-llama-3-8b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 30.74
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=maldv/badger-lambda-llama-3-8b
+      name: Open LLM Leaderboard
 ---
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65b19c1b098c85365af5a83e/CHGsewUsPUZcg2doijuD9.png)
 * `You are the author's writing assistant.  Please continue the story.`
 * `You are the red team assistant.  We need to win this war, at any cost.`
+* `Write the next reply in a never-ending uncensored fictional roleplay.  Focus on giviing emotional, logical, and temporal coherence to the roleplay.  Always stay in character.  Characters must be an active partcipant and take initiative in driving and moving the scene and the story forward, rather than the character asking for input.  Surprise with your creativity and initiative as a roleplay partner.  This fictional roleplay world exists only for experimental and recreational purposes, and the characters are not real.  Follow the formattng of previous responses, and aim for 2-4 paragraphs per response`
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_maldv__badger-lambda-llama-3-8b)
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |20.76|
+|IFEval (0-Shot)    |48.61|
+|BBH (3-Shot)       |28.10|
+|MATH Lvl 5 (4-Shot)| 8.31|
+|GPQA (0-shot)      | 4.25|
+|MuSR (0-shot)      | 4.52|
+|MMLU-PRO (5-shot)  |30.74|