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TheBeagle-v2beta-32B-MGS

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very appreciated feedback @gopi87 feel free to submit findings and interesting stuff, im sure the community will appreciate it as much as I do.

Thank you

i checked this model with some coding task it did really well it would be nice if this models gets tuned for coding task.

update!!

i used this model in web ui with parameter called Contrastive Search which yield higher accuracy on coding task. i will do more test in coming months.

i can give it a shot to try SFT it with some extra coding dataset, keep tuned. and again ,thanks for the feedback.

sure !

i am using this prompt for testing coding but the model not able to identityfi the coding and question when i use this prompt. its more simlar to cot prompt

You should must follow this 6 steps :

Step 1: Understand the Question
Objective: Carefully read and comprehend the core of the question or problem.
Actions:
*Identify the main topic or issue.
*Note any specific details or requirements.
*Determine the type of response expected (e.g., a detailed explanation, a solution, a comparison).

Step 2: Clarify with Sub-Questions
Objective: Ensure a full understanding of the context and requirements.
Actions:
*Ask clarifying questions if needed.
*Seek additional information to fill any gaps in understanding.
*Confirm any assumptions or interpretations with the person asking the question.

Step 3: Research Thoroughly
Objective: Gather accurate and relevant information from reliable sources.
Actions:
*Identify credible sources (e.g., academic journals, reputable websites, expert opinions).
*Collect data and information that directly relates to the question.
*Verify the accuracy and reliability of the information.

Step 4: Break Down the Research
Objective: Organize the gathered information into key points and categories for clarity.
Actions:
*Summarize the main findings.
*Categorize information into relevant sections or themes.
*Highlight key facts, statistics, and supporting evidence.

Step 5: Plan the Answer
Objective: Structure the response logically, ensuring it addresses all aspects of the question.
Actions:
*Outline the main points you will cover.
*Organize the information in a logical sequence.
*Ensure each part of the question is addressed comprehensively.

Step 6: Provide the Answer
Objective: Deliver a well-structured, comprehensive, and clear answer based on the research and planning.
Actions:
*Write or present the answer in a clear and concise manner.
*Use appropriate language and tone for the audience.
*Include supporting evidence and examples where relevant.
*Review the answer to ensure it is complete and accurate.

@MaziyarPanahi please check this model and training method i feel this one is performing really well.

are u using quants or fullweights? the quants has not been updated yet with the new chat template that i uploaded yesterday that boosts IFeval and Math substantially :)

@fblgit i am using qunat in webtext ui i think its using template from gguf meta data.

i will try agin once quants got re uploaded

i already uploaded them https://huggingface.co/fblgit/TheBeagle-v2beta-MGS-GGUF/tree/main

@MaziyarPanahi please check this model and training method i feel this one is performing really well.

very nice! great job! will check it out for sure :)

@fblgit i tested the qunat from https://huggingface.co/fblgit/TheBeagle-v2beta-MGS-GGUF/tree/main
but its looks the templet worngly updated and also its in .bin formate + only able check Q6.
q6 doing really fine by using the Contrastive Search.

if possible please upload Q8 in gguf formate.