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RichardErkhov/
Isotonic_-_Mixnueza-Chat-6x32M-MoE-gguf

Name: Isotonic_-_Mixnueza-Chat-6x32M-MoE-gguf
Availability: InStock

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Mixnueza-Chat-6x32M-MoE - GGUF

Model creator: https://huggingface.co/Isotonic/
Original model: https://huggingface.co/Isotonic/Mixnueza-Chat-6x32M-MoE/

Name	Quant method	Size
Mixnueza-Chat-6x32M-MoE.Q2_K.gguf	Q2_K	0.0GB
Mixnueza-Chat-6x32M-MoE.IQ3_XS.gguf	IQ3_XS	0.0GB
Mixnueza-Chat-6x32M-MoE.IQ3_S.gguf	IQ3_S	0.0GB
Mixnueza-Chat-6x32M-MoE.Q3_K_S.gguf	Q3_K_S	0.0GB
Mixnueza-Chat-6x32M-MoE.IQ3_M.gguf	IQ3_M	0.0GB
Mixnueza-Chat-6x32M-MoE.Q3_K.gguf	Q3_K	0.0GB
Mixnueza-Chat-6x32M-MoE.Q3_K_M.gguf	Q3_K_M	0.0GB
Mixnueza-Chat-6x32M-MoE.Q3_K_L.gguf	Q3_K_L	0.0GB
Mixnueza-Chat-6x32M-MoE.IQ4_XS.gguf	IQ4_XS	0.0GB
Mixnueza-Chat-6x32M-MoE.Q4_0.gguf	Q4_0	0.0GB
Mixnueza-Chat-6x32M-MoE.IQ4_NL.gguf	IQ4_NL	0.0GB
Mixnueza-Chat-6x32M-MoE.Q4_K_S.gguf	Q4_K_S	0.0GB
Mixnueza-Chat-6x32M-MoE.Q4_K.gguf	Q4_K	0.0GB
Mixnueza-Chat-6x32M-MoE.Q4_K_M.gguf	Q4_K_M	0.0GB
Mixnueza-Chat-6x32M-MoE.Q4_1.gguf	Q4_1	0.0GB
Mixnueza-Chat-6x32M-MoE.Q5_0.gguf	Q5_0	0.0GB
Mixnueza-Chat-6x32M-MoE.Q5_K_S.gguf	Q5_K_S	0.0GB
Mixnueza-Chat-6x32M-MoE.Q5_K.gguf	Q5_K	0.0GB
Mixnueza-Chat-6x32M-MoE.Q5_K_M.gguf	Q5_K_M	0.0GB
Mixnueza-Chat-6x32M-MoE.Q5_1.gguf	Q5_1	0.0GB
Mixnueza-Chat-6x32M-MoE.Q6_K.gguf	Q6_K	0.0GB
Mixnueza-Chat-6x32M-MoE.Q8_0.gguf	Q8_0	0.0GB

Original model description:

license: apache-2.0 tags:

moe
merge
mergekit
lazymergekit
Felladrin/Minueza-32M-Chat pipeline_tag: text-generation widget:
messages:
- role: system content: You are a career counselor. The user will provide you with an individual looking for guidance in their professional life, and your task is to assist them in determining what careers they are most suited for based on their skills, interests, and experience. You should also conduct research into the various options available, explain the job market trends in different industries, and advice on which qualifications would be beneficial for pursuing particular fields.
- role: user content: Heya!
- role: assistant content: Hi! How may I help you?
- role: user content: I am interested in developing a career in software engineering. What would you recommend me to do?
messages:
- role: system content: You are a highly knowledgeable assistant. Help the user as much as you can.
- role: user content: How can I become a healthier person?
messages:
- role: system content: You are a helpful assistant who gives creative responses.
- role: user content: Write the specs of a game about mages in a fantasy world.
messages:
- role: system content: You are a helpful assistant who answers user's questions with details.
- role: user content: Tell me about the pros and cons of social media.
messages:
- role: system content: You are a helpful assistant who answers user's questions with details and curiosity.
- role: user content: What are some potential applications for quantum computing? inference: parameters: max_new_tokens: 250 do_sample: true temperature: 0.65 top_p: 0.55 top_k: 35 repetition_penalty: 1.176 datasets:
databricks/databricks-dolly-15k
Felladrin/ChatML-databricks-dolly-15k
euclaise/reddit-instruct-curated
Felladrin/ChatML-reddit-instruct-curated
THUDM/webglm-qa
Felladrin/ChatML-WebGLM-QA
starfishmedical/webGPT_x_dolly
Felladrin/ChatML-webGPT_x_dolly
LDJnr/Capybara
Felladrin/ChatML-Capybara
Open-Orca/SlimOrca-Dedup
Felladrin/ChatML-SlimOrca-Dedup
HuggingFaceH4/ultrachat_200k
Felladrin/ChatML-ultrachat_200k
nvidia/HelpSteer
Felladrin/ChatML-HelpSteer
sablo/oasst2_curated
Felladrin/ChatML-oasst2_curated
CohereForAI/aya_dataset
Felladrin/ChatML-aya_dataset
argilla/distilabel-capybara-dpo-7k-binarized
Felladrin/ChatML-distilabel-capybara-dpo-7k-binarized
argilla/distilabel-intel-orca-dpo-pairs
Felladrin/ChatML-distilabel-intel-orca-dpo-pairs
argilla/ultrafeedback-binarized-preferences
Felladrin/ChatML-ultrafeedback-binarized-preferences
sablo/oasst2_dpo_pairs_en
Felladrin/ChatML-oasst2_dpo_pairs_en
NeuralNovel/Neural-DPO
Felladrin/ChatML-Neural-DPO

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Mixnueza-6x32M-MoE

Mixnueza-6x32M-MoE is a Mixure of Experts (MoE) made with the following models using LazyMergekit:

6 X Felladrin/Minueza-32M-Chat
Num Experts Per Token : 3
Evaluation Results

💻 Usage

python

from transformers import pipeline

generate = pipeline("text-generation", "Isotonic/Mixnueza-6x32M-MoE")

messages = [
    {
        "role": "system",
        "content": "You are a helpful assistant who answers the user's questions with details and curiosity.",
    },
    {
        "role": "user",
        "content": "What are some potential applications for quantum computing?",
    },
]

prompt = generate.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)

output = generate(
    prompt,
    max_new_tokens=256,
    do_sample=True,
    temperature=0.65,
    top_k=35,
    top_p=0.55,
    repetition_penalty=1.176,
)

print(output[0]["generated_text"])

RichardErkhov/Isotonic_-_Mixnueza-Chat-6x32M-MoE-gguf

Original model description:

Mixnueza-6x32M-MoE

💻 Usage

RichardErkhov/
Isotonic_-_Mixnueza-Chat-6x32M-MoE-gguf