base_model:
- beomi/Llama-3-KoEn-8B-Instruct-preview
- saltlux/Ko-Llama3-Luxia-8B
- cognitivecomputations/dolphin-2.9-llama3-8b
- NousResearch/Meta-Llama-3-8B
- nvidia/Llama3-ChatQA-1.5-8B
- aaditya/Llama3-OpenBioLLM-8B
- Danielbrdz/Barcenas-Llama3-8b-ORPO
- beomi/Llama-3-KoEn-8B-preview
- abacusai/Llama-3-Smaug-8B
- NousResearch/Meta-Llama-3-8B-Instruct
library_name: transformers
tags:
- mergekit
- merge
- llama
YACHT-Llama-3-KoEn-8B-GGUF
π΅ [JayLee LLMs Signature Tag] : βοΈ "I need a Jay Jay chat boy" π΅
β¨ Navigating the High Seas of Data: Crafting the Ultimate Yacht Insights with Merged LLMs β¨
β¨ Arenβt you sometimes tired of just doing LLM & RAG & Normal Chat app? I'll show you a cool app soon integrating this my merged one(Tuned car). It wouldn't be fun if we only developed cars, so life is ultimately about driving cars and socializing with people. β¨
𧨠When using the Merge model for commercial purposes, a lot of care is needed. A mix of many models can be good, but it can also pose many risks. π§¨
Thank you for visiting my page today!
Your donation makes me feel more free in Dev life. Instead, I will provide you with fun and useful software!!!
I haven't even released 0.001% of the software to you yet!!!
"Donation(ETH/USDT) : 0x8BB117dD4Cc0E19E5536ab211070c0dE039a85c0"
Can you borrow your computer power to merge heavy xtuner with my one cuz my com memory said that he is sick -> DM me!! (code ready)
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(.venv) jaylee@lees-MacBook-Pro-2 merge % /opt/homebrew/Cellar/[email protected]/3.12.3/Frameworks/Python.framework/Versions/3.12/lib/python3.12/multiprocessing/resource_tracker.py:254: UserWarning: resource_tracker: There appear to be 1 leaked semaphore objects to clean up at shutdown
warnings.warn('resource_tracker: There appear to be %d '
ModelFile
jaylee@lees-MacBook-Pro-2 youtube % ./ollama create yahht_v1 -f ./gguf/hf_hub/Modelfile_Q5_K_M
transferring model data
creating model layer
creating template layer
creating system layer
creating parameters layer
creating config layer
using already created layer sha256:2def4bed3c8fe78c1698dd1231f7171d0d2bf486f32f176363355407ade95662
using already created layer sha256:a6f440dc634252d55a441bbe8710e373456b37a594eb309b765e4ddb03b0872c
using already created layer sha256:ae2974c64ea5d6f488eeb1b10717a270f48fb3452432589db6f5e60472ae96ac
writing layer sha256:65439eabce8efb44a58abcb17283801575b1dab665fc6827fb671ce2ab9dc68f
writing layer sha256:8f48c0791f5b8c657d90f572145ab01ece1309cd1538e25209d2190a9bab5c83
writing manifest
success
FROM yacht-llama-3-koen-8b-Q5_K_M.gguf
TEMPLATE """
{{- if .System }}
system
<s>{{ .System }}</s>
{{- end }}
user
<s>Human:
{{ .Prompt }}</s>
assistant
<s>Assistant:
"""
SYSTEM """
μΉμ ν μ±λ΄μΌλ‘μ μλλ°©μ μμ²μ μ΅λν μμΈνκ³ μΉμ νκ² λ΅νμ. λͺ¨λ λλ΅μ νκ΅μ΄(Korean)μΌλ‘ λλ΅ν΄μ€.
"""
PARAMETER temperature 0.7
PARAMETER num_predict 3000
PARAMETER num_ctx 4096
PARAMETER stop "<s>"
PARAMETER stop "</s>"
Merge Method
This model was merged using the DARE TIES merge method using NousResearch/Meta-Llama-3-8B as a base.
Models Merged
The following models were included in the merge:
- beomi/Llama-3-KoEn-8B-Instruct-preview
- saltlux/Ko-Llama3-Luxia-8B
- cognitivecomputations/dolphin-2.9-llama3-8b
- nvidia/Llama3-ChatQA-1.5-8B
- aaditya/Llama3-OpenBioLLM-8B
- Danielbrdz/Barcenas-Llama3-8b-ORPO
- beomi/Llama-3-KoEn-8B-preview
- abacusai/Llama-3-Smaug-8B
- NousResearch/Meta-Llama-3-8B-Instruct
Configuration
The following YAML configuration was used to produce this model:
models:
- model: NousResearch/Meta-Llama-3-8B
- model: NousResearch/Meta-Llama-3-8B-Instruct
parameters:
density: 0.60
weight: 0.25
- model: beomi/Llama-3-KoEn-8B-preview
parameters:
density: 0.55
weight: 0.2
- model: saltlux/Ko-Llama3-Luxia-8B
parameters:
density: 0.55
weight: 0.15
- model: beomi/Llama-3-KoEn-8B-Instruct-preview
parameters:
density: 0.55
weight: 0.15
- model: nvidia/Llama3-ChatQA-1.5-8B
parameters:
density: 0.55
weight: 0.1
- model: cognitivecomputations/dolphin-2.9-llama3-8b
parameters:
density: 0.55
weight: 0.05
- model: Danielbrdz/Barcenas-Llama3-8b-ORPO
parameters:
density: 0.55
weight: 0.05
- model: abacusai/Llama-3-Smaug-8B
parameters:
density: 0.55
weight: 0.05
- model: aaditya/Llama3-OpenBioLLM-8B
parameters:
density: 0.55
weight: 0.1
merge_method: dare_ties
base_model: NousResearch/Meta-Llama-3-8B
parameters:
int8_mask: true
dtype: bfloat16