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RichardErkhov/
CobraMamba_-_mamba-gpt-3b-v4-gguf

Name: CobraMamba_-_mamba-gpt-3b-v4-gguf
Availability: InStock

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mamba-gpt-3b-v4 - GGUF

Model creator: https://huggingface.co/CobraMamba/
Original model: https://huggingface.co/CobraMamba/mamba-gpt-3b-v4/

Name	Quant method	Size
mamba-gpt-3b-v4.Q2_K.gguf	Q2_K	1.84GB
mamba-gpt-3b-v4.IQ3_XS.gguf	IQ3_XS	1.84GB
mamba-gpt-3b-v4.IQ3_S.gguf	IQ3_S	1.84GB
mamba-gpt-3b-v4.Q3_K_S.gguf	Q3_K_S	1.84GB
mamba-gpt-3b-v4.IQ3_M.gguf	IQ3_M	1.92GB
mamba-gpt-3b-v4.Q3_K.gguf	Q3_K	1.99GB
mamba-gpt-3b-v4.Q3_K_M.gguf	Q3_K_M	1.99GB
mamba-gpt-3b-v4.Q3_K_L.gguf	Q3_K_L	2.06GB
mamba-gpt-3b-v4.IQ4_XS.gguf	IQ4_XS	1.86GB
mamba-gpt-3b-v4.Q4_0.gguf	Q4_0	1.84GB
mamba-gpt-3b-v4.IQ4_NL.gguf	IQ4_NL	1.86GB
mamba-gpt-3b-v4.Q4_K_S.gguf	Q4_K_S	2.24GB
mamba-gpt-3b-v4.Q4_K.gguf	Q4_K	2.4GB
mamba-gpt-3b-v4.Q4_K_M.gguf	Q4_K_M	2.4GB
mamba-gpt-3b-v4.Q4_1.gguf	Q4_1	2.04GB
mamba-gpt-3b-v4.Q5_0.gguf	Q5_0	2.23GB
mamba-gpt-3b-v4.Q5_K_S.gguf	Q5_K_S	2.42GB
mamba-gpt-3b-v4.Q5_K.gguf	Q5_K	2.57GB
mamba-gpt-3b-v4.Q5_K_M.gguf	Q5_K_M	2.57GB
mamba-gpt-3b-v4.Q5_1.gguf	Q5_1	2.42GB
mamba-gpt-3b-v4.Q6_K.gguf	Q6_K	3.39GB
mamba-gpt-3b-v4.Q8_0.gguf	Q8_0	3.39GB

Original model description:

language:

en library_name: transformers tags:
gpt
llm
large language model inference: false thumbnail: >- https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico license: apache-2.0

Model Card

One of the Best 3B Model! Surpassing dolly-v2-12b in the Open LLM Leaderboard!

One of the best 3B model on the Open LLM Leaderboard, with performance surpassing dolly-v2-12b!

Metric	Value
MMLU (5-shot)	30.0
ARC (25-shot)	42.6
HellaSwag (10-shot)	71.0
TruthfulQA (0-shot)	37.3
Avg.	45.2

We used the SOTA(State Of The Art) Language Model Evaluation Harness to run the benchmark tests above.

The following is the performance under 0-shot testing, mostly better than acrastt/Marx-3B-V2

hf-causal (pretrained=CobraMamba/mamba-gpt-3b-v4), limit: None, provide_description: False, num_fewshot: 0, batch_size: None

The training code and data will be open sourced later on Github(https://github.com/chi2liu/mamba-gpt-3b).

Training Dataset

mamba-gpt-3b-v4 is trained on multiple datasets:

Summary

We have fine-tuned the OpenLLaMA model and surpassed the original model in multiple evaluation subtasks, making it currently one of the best performing 3B model, with comparable performance to llama-7b.

Base model: openlm-research/open_llama_3b_v2

Usage

To use the model with the transformers library on a machine with GPU(s), first make sure you have the transformers, accelerate and torch libraries installed.

bash

pip install transformers==4.29.2
pip install accelerate==0.19.0
pip install torch==2.0.0

Then, run the following Python snippet:

python

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("CobraMamba/mamba-gpt-3b-v4")
model = AutoModelForCausalLM.from_pretrained("CobraMamba/mamba-gpt-3b-v4", trust_remote_code=True, torch_dtype=torch.float16)

# we use alpaca prompt
input_content = "Your text here"
input_ids = tokenizer.encode(input_content, return_tensors="pt")
output = model.generate(input_ids, max_length=128, temperature=0.7)
output_text = tokenizer.decode(output[0], skip_special_tokens=True)
print(output_text)

Citation

If this work is helpful, please kindly cite as:

bibtex

@Misc{mamba-gpt-3b-v4,
  title = {Mamba-GPT-3b-v4},
  author = {chiliu},
  howpublished = {\url{https://huggingface.co/CobraMamba/mamba-gpt-3b-v4}},
  year = {2023}
}

Disclaimer

Please read this disclaimer carefully before using the large language model provided in this repository. Your use of the model signifies your agreement to the following terms and conditions.

Biases and Offensiveness: The large language model is trained on a diverse range of internet text data, which may contain biased, racist, offensive, or otherwise inappropriate content. By using this model, you acknowledge and accept that the generated content may sometimes exhibit biases or produce content that is offensive or inappropriate. The developers of this repository do not endorse, support, or promote any such content or viewpoints.
Limitations: The large language model is an AI-based tool and not a human. It may produce incorrect, nonsensical, or irrelevant responses. It is the user's responsibility to critically evaluate the generated content and use it at their discretion.
Use at Your Own Risk: Users of this large language model must assume full responsibility for any consequences that may arise from their use of the tool. The developers and contributors of this repository shall not be held liable for any damages, losses, or harm resulting from the use or misuse of the provided model.

RichardErkhov/CobraMamba_-_mamba-gpt-3b-v4-gguf