Text Generation
Transformers
Safetensors
gemma2
mergekit
Merge
conversational
text-generation-inference
Instructions to use BeaverAI/Gemma-14B-SPPO-Interleaved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BeaverAI/Gemma-14B-SPPO-Interleaved with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="BeaverAI/Gemma-14B-SPPO-Interleaved") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("BeaverAI/Gemma-14B-SPPO-Interleaved") model = AutoModelForMultimodalLM.from_pretrained("BeaverAI/Gemma-14B-SPPO-Interleaved") 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]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use BeaverAI/Gemma-14B-SPPO-Interleaved with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "BeaverAI/Gemma-14B-SPPO-Interleaved" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "BeaverAI/Gemma-14B-SPPO-Interleaved", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/BeaverAI/Gemma-14B-SPPO-Interleaved
- SGLang
How to use BeaverAI/Gemma-14B-SPPO-Interleaved 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 "BeaverAI/Gemma-14B-SPPO-Interleaved" \ --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": "BeaverAI/Gemma-14B-SPPO-Interleaved", "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 "BeaverAI/Gemma-14B-SPPO-Interleaved" \ --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": "BeaverAI/Gemma-14B-SPPO-Interleaved", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use BeaverAI/Gemma-14B-SPPO-Interleaved with Docker Model Runner:
docker model run hf.co/BeaverAI/Gemma-14B-SPPO-Interleaved
merged
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the passthrough merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
merge_method: passthrough
slices:
- sources:
- layer_range: [0, 24]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
# Original L24
- sources:
- layer_range: [24, 25]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
# Dupe A of L24
- sources:
- layer_range: [24, 25]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# Dupe B of L24
- sources:
- layer_range: [24, 25]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# Original L25
- sources:
- layer_range: [25, 26]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
# Dupe A of L25
- sources:
- layer_range: [25, 26]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# Dupe B of L25
- sources:
- layer_range: [25, 26]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# Original L26
- sources:
- layer_range: [26, 27]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
# Dupe A of L26
- sources:
- layer_range: [26, 27]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# Dupe B of L26
- sources:
- layer_range: [26, 27]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# Original L27
- sources:
- layer_range: [27, 28]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
# Dupe A of L27
- sources:
- layer_range: [27, 28]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# Dupe B of L27
- sources:
- layer_range: [27, 28]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# Original L28
- sources:
- layer_range: [28, 29]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
# Dupe A of L28
- sources:
- layer_range: [28, 29]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# Dupe B of L28
- sources:
- layer_range: [28, 29]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# Original L29
- sources:
- layer_range: [29, 30]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
# Dupe A of L29
- sources:
- layer_range: [29, 30]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# Dupe B of L29
- sources:
- layer_range: [29, 30]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# Original L30
- sources:
- layer_range: [30, 31]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
# Dupe A of L30
- sources:
- layer_range: [30, 31]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# Dupe B of L30
- sources:
- layer_range: [30, 31]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# Original L31
- sources:
- layer_range: [31, 32]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
# Dupe A of L31
- sources:
- layer_range: [31, 32]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# Dupe B of L31
- sources:
- layer_range: [31, 32]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# Original L32
- sources:
- layer_range: [32, 33]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
# Dupe A of L32
- sources:
- layer_range: [32, 33]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# Dupe B of L32
- sources:
- layer_range: [32, 33]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# Original L33
- sources:
- layer_range: [33, 34]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
# Dupe A of L33
- sources:
- layer_range: [33, 34]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# Dupe B of L33
- sources:
- layer_range: [33, 34]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# Original L34
- sources:
- layer_range: [34, 35]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
# Dupe A of L34
- sources:
- layer_range: [34, 35]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# Dupe B of L34
- sources:
- layer_range: [34, 35]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# Original L35
- sources:
- layer_range: [35, 36]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
# Dupe A of L35
- sources:
- layer_range: [35, 36]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# Dupe B of L35
- sources:
- layer_range: [35, 36]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# Original L36
- sources:
- layer_range: [36, 37]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
# Dupe A of L36
- sources:
- layer_range: [36, 37]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# Dupe B of L36
- sources:
- layer_range: [36, 37]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
- sources:
- layer_range: [37, 42]
model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
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UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3