Zion_Alpha_Instruction_Tuned_GGUF
Zion_Alpha_Instruction_Tuned

Model Details

Zion_Alpha is the first REAL Hebrew model in the world. This version WAS fine tuned for tasks. I did the finetune using SOTA techniques and using my insights from years of underwater basket weaving. If you wanna offer me a job, just add me on Facebook.

Future Plans

I plan to perform a SLERP merge with one of my other fine-tuned models, which has a bit more knowledge about Israeli topics. Additionally, I might create a larger model using MergeKit, but we'll see how it goes.

Looking for Sponsors

Since all my work is done on-premises, I am constrained by my current hardware. I would greatly appreciate any support in acquiring an A6000, which would enable me to train significantly larger models much faster.

Papers?

Maybe. We'll see. No promises here πŸ€“

Contact Details

I'm not great at self-marketing (to say the least) and don't have any social media accounts. If you'd like to reach out to me, you can email me at sicariussicariistuff@gmail.com. Please note that this email might receive more messages than I can handle, so I apologize in advance if I can't respond to everyone.

Versions and QUANTS

Model architecture

Based on Mistral 7B. I didn't even bother to alter the tokenizer.

The recommended prompt setting is Debug-deterministic:

temperature: 1
top_p: 1
top_k: 1
typical_p: 1
min_p: 1
repetition_penalty: 1

The recommended instruction template is Mistral:

{%- for message in messages %}
    {%- if message['role'] == 'system' -%}
        {{- message['content'] -}}
    {%- else -%}
        {%- if message['role'] == 'user' -%}
            {{-'[INST] ' + message['content'].rstrip() + ' [/INST]'-}}
        {%- else -%}
            {{-'' + message['content'] + '</s>' -}}
        {%- endif -%}
    {%- endif -%}
{%- endfor -%}
{%- if add_generation_prompt -%}
    {{-''-}}
{%- endif -%}

English to hebrew example:

Zion_Alpha English to Hebrew example
Zion_Alpha

English to hebrew example:

Zion_Alpha Hebrew to English example
Zion_Alpha
Unscripted video: live zero shot demonstration at story writing capabilities in Hebrew

Zion_Alpha Story writing

Zion_Alpha VS Mistral 'Hebrew' Live & unscripted in real time

Zion_Alpha Story writing

Zion_Alpha VS Mistral 'Hebrew' Live & unscripted in real time Long text translation

Zion_Alpha Story writing

History

The model was originally trained about 2 month after Mistral (v0.1) was released. As of 04 June 2024, Zion_Alpha got the Highest SNLI score in the world among open source models in Hebrew, surpassing most of the models by a huge margin. (84.05 score) Zion_Alpha SNLI Score

Support

GPUs too expensive
  • My Ko-fi page ALL donations will go for research resources and compute, every bit counts πŸ™πŸ»
  • My Patreon ALL donations will go for research resources and compute, every bit counts πŸ™πŸ»
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GGUF
Model size
7.24B params
Architecture
llama

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Inference API
Unable to determine this model's library. Check the docs .

Collection including SicariusSicariiStuff/Zion_Alpha_Instruction_Tuned_GGUF