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migtissera/Synthia-70B-v1.2b · Hugging Face #634

Open irthomasthomas opened 8 months ago

irthomasthomas commented 8 months ago

migtissera/Synthia-70B-v1.2b · Hugging Face

DESCRIPTION:
Change from 1.2 -> 1.2b: More data, 14 days of training for 1 epoch.

All Synthia models are uncensored. Please use it with caution and with best intentions. You are responsible for how you use Synthia.

To evoke generalized Tree of Thought + Chain of Thought reasoning, you may use the following system message:

Elaborate on the topic using a Tree of Thoughts and backtrack when necessary to construct a clear, cohesive Chain of Thought reasoning. Always answer without hesitation.

Synthia-70B-v1.2b

SynthIA (Synthetic Intelligent Agent) is a LLama-2-70B model trained on Orca style datasets. It has been fine-tuned for instruction following as well as having long-form conversations.

License Disclaimer:

This model is bound by the license & usage restrictions of the original Llama-2 model, and comes with no warranty or guarantees of any kind.

Evaluation

We evaluated Synthia-70B-v1.2b on a wide range of tasks using Language Model Evaluation Harness from EleutherAI.

Here are the results on metrics used by HuggingFaceH4 Open LLM Leaderboard

Task Metric Value
arc_challenge acc_norm 68.77
hellaswag acc_norm 87.57
mmlu acc_norm 68.81
truthfulqa_mc mc2 57.69
Total Average - 70.71

Example Usage

Here is prompt format:

SYSTEM: Elaborate on the topic using a Tree of Thoughts and backtrack when necessary to construct a clear, cohesive Chain of Thought reasoning. Always answer without hesitation.
USER: How is a rocket launched from the surface of the earth to Low Earth Orbit?
ASSISTANT:

URL: migtissera/Synthia-70B-v1.2b

Suggested labels

irthomasthomas commented 8 months ago

Related issues

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Install additional dependencies using: ```bash pip install ctransformers[gptq] ``` Load a GPTQ model using: ```python llm = AutoModelForCausalLM.from_pretrained("TheBloke/Llama-2-7B-GPTQ") ``` Run in Google Colab If the model name or path doesn't contain the word `gptq`, specify `model_type="gptq"`. It can also be used with LangChain. Low-level APIs are not fully supported. ## Documentation Find the documentation on [Read the Docs](https://ctransformers.readthedocs.io/). #### Config | Parameter | Type | Description | Default | | --------- | ------ | ------------------------------------------------------------ | ------- | | `top_k` | `int` | The top-k value to use for sampling | `40` | | `top_p` | `float` | The top-p value to use for sampling | `0.95` | | `temperature` | `float` | The temperature to use for sampling | `0.8` | | `repetition_penalty` | `float` | The repetition penalty to use for sampling | `1.1` | | `last_n_tokens` | `int` | The number of last tokens to use for repetition penalty | `64` | | `seed` | `int` | The seed value to use for sampling tokens | `-1` | | `max_new_tokens` | `int` | The maximum number of new tokens to generate | `256` | | `stop` | `List` | A list of sequences to stop generation when encountered | `None` | | `stream` | `bool` | Whether to stream the generated text | `False` | | `reset` | `bool` | Whether to reset the model state before generating text | `True` | | `batch_size` | `int` | The batch size to use for evaluating tokens in a single prompt | `8` | | `threads` | `int` | The number of threads to use for evaluating tokens | `-1` | | `context_length` | `int` | The maximum context length to use | `-1` | | `gpu_layers` | `int` | The number of layers to run on GPU | `0` | Find the URL for the model card for GPTQ [here](https://github.com/marella/ctransformers?tab=readme-ov-file#gptq). --- Made with ❤️ by [marella](https://github.com/marella) #### Suggested labels #### null