karakuri-ai
/

karakuri-lm-7b-apm-v0.1

@@ -1,199 +1,110 @@
 ---
 library_name: transformers
-tags: []
 ---
-# Model Card for Model ID
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-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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 ---
 library_name: transformers
+license: gemma
+datasets:
+- OpenAssistant/oasst2
+- nvidia/HelpSteer
+language:
+- en
+- ja
+tags:
+- gemma
+- steerlm
+base_model: google/gemma-7b
 ---
+# KARAKURI LM 7B APM v0.1
 ## Model Details
 ### Model Description
+- **Developed by:** [KARAKURI Inc.](https://about.karakuri.ai/)
+- **Model type:** Causal decoder-only transformer language model
+- **Languages**: Primarily English
+- **License:** [Gemma Terms of Use](https://ai.google.dev/gemma/terms)
+- **Finetuned from model:** [google/gemma-7b](https://huggingface.co/google/gemma-7b)
+- **Contact**: For questions and comments about the model, please email `karakuri-rd@karakuri.ai`
+## Use in 🤗 Transformers
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+model_id = "karakuri-ai/karakuri-lm-7b-apm-v0.1"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype="auto",
+    device_map="auto",
+)
+messages = [
+    {"role": "user", "content": "Hello!"},
+    {"role": "assistant", "content": "Hello! How can I help you today?"},
+]
+tokenizer.apply_chat_template(
+    messages,
+    label="helpsteer",
+    tokenize=False,
+    add_generation_prompt=True,
+)
+# <bos>[INST] Hello! [/INST] Hello! How can I help you today? [ATTR_1]
+input_ids = tokenizer.apply_chat_template(
+    messages,
+    label="helpsteer",
+    add_generation_prompt=True,
+    return_tensors="pt",
+).to(model.device)
+outputs = model.generate(input_ids, max_new_tokens=32)
+tokenizer.decode(outputs[0][input_ids.shape[-1]:])
+#  helpfulness: 2 correctness: 1 coherence: 2 complexity: 1 verbosity: 1 [/ATTR_1]<eos>
+messages += [
+    {"role": "label", "content": "helpfulness: 2 correctness: 1 coherence: 2 complexity: 1 verbosity: 1"},
+    {"role": "user", "content": "Thank you!"},
+    {"role": "assistant", "content": "You're welcome! I'm happy to help however I can."},
+]
+tokenizer.apply_chat_template(
+    messages,
+    label="helpsteer",
+    tokenize=False,
+    add_generation_prompt=True,
+)
+# <bos>[INST] Hello! [/INST] Hello! How can I help you today? [ATTR_1] helpfulness: 2 correctness: 1 coherence: 2 complexity: 1 verbosity: 1 [/ATTR_1]<eos>[INST] Thank you! [/INST] You're welcome! I'm happy to help however I can. [ATTR_1]
+messages = [
+    {"role": "user", "content": "Hello!"},
+    {"role": "assistant", "content": "Hello! How can I help you today?"},
+]
+tokenizer.apply_chat_template(
+    messages,
+    label="oasst",
+    tokenize=False,
+    add_generation_prompt=True,
+)
+# <bos>[INST] Hello! [/INST] Hello! How can I help you today? [ATTR_2]
+input_ids = tokenizer.apply_chat_template(
+    messages,
+    label="oasst",
+    add_generation_prompt=True,
+    return_tensors="pt",
+).to(model.device)
+outputs = model.generate(input_ids, max_new_tokens=32)
+tokenizer.decode(outputs[0][input_ids.shape[-1]:])
+#  quality: 3 toxicity: 1 humor: 1 creativity: 1 [/ATTR_2]<eos>
+```
 ## Training Details
 ### Training Data
+- [OASST2](https://huggingface.co/datasets/OpenAssistant/oasst2)
+- [HelpSteer](https://huggingface.co/datasets/nvidia/HelpSteer)
+### Training Infrastructure
+- **Hardware**: This model was trained on single node of an Amazon EC2 trn1.32xlarge instance.
+- **Software**: We use code based on [neuronx-nemo-megatron](https://github.com/aws-neuron/neuronx-nemo-megatron).