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Kukedlc_-_NeuralKrishna-7B-v3-gguf
RichardErkhov/Kukedlc_-_NeuralKrishna-7B-v3-gguf
Kukedlc_-_NeuralKrishna-7B-v3-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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.gguf95.2 GB · 100%
At a glance
- Access
- Public
- Created
- Sep 11, 2024
- Updated
- Sep 12, 2024
- SHA
- 58d27363
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
NeuralKrishna-7B-v3 - GGUF
- Model creator: https://huggingface.co/Kukedlc/
- Original model: https://huggingface.co/Kukedlc/NeuralKrishna-7B-v3/
| Name | Quant method | Size |
|---|---|---|
| NeuralKrishna-7B-v3.Q2_K.gguf | Q2_K | 2.53GB |
| NeuralKrishna-7B-v3.IQ3_XS.gguf | IQ3_XS | 2.81GB |
| NeuralKrishna-7B-v3.IQ3_S.gguf | IQ3_S | 2.96GB |
| NeuralKrishna-7B-v3.Q3_K_S.gguf | Q3_K_S | 2.95GB |
| NeuralKrishna-7B-v3.IQ3_M.gguf | IQ3_M | 3.06GB |
| NeuralKrishna-7B-v3.Q3_K.gguf | Q3_K | 3.28GB |
| NeuralKrishna-7B-v3.Q3_K_M.gguf | Q3_K_M | 3.28GB |
| NeuralKrishna-7B-v3.Q3_K_L.gguf | Q3_K_L | 3.56GB |
| NeuralKrishna-7B-v3.IQ4_XS.gguf | IQ4_XS | 3.67GB |
| NeuralKrishna-7B-v3.Q4_0.gguf | Q4_0 | 3.83GB |
| NeuralKrishna-7B-v3.IQ4_NL.gguf | IQ4_NL | 3.87GB |
| NeuralKrishna-7B-v3.Q4_K_S.gguf | Q4_K_S | 3.86GB |
| NeuralKrishna-7B-v3.Q4_K.gguf | Q4_K | 4.07GB |
| NeuralKrishna-7B-v3.Q4_K_M.gguf | Q4_K_M | 4.07GB |
| NeuralKrishna-7B-v3.Q4_1.gguf | Q4_1 | 4.24GB |
| NeuralKrishna-7B-v3.Q5_0.gguf | Q5_0 | 4.65GB |
| NeuralKrishna-7B-v3.Q5_K_S.gguf | Q5_K_S | 4.65GB |
| NeuralKrishna-7B-v3.Q5_K.gguf | Q5_K | 4.78GB |
| NeuralKrishna-7B-v3.Q5_K_M.gguf | Q5_K_M | 4.78GB |
| NeuralKrishna-7B-v3.Q5_1.gguf | Q5_1 | 5.07GB |
| NeuralKrishna-7B-v3.Q6_K.gguf | Q6_K | 5.53GB |
| NeuralKrishna-7B-v3.Q8_0.gguf | Q8_0 | 7.17GB |
Original model description:
tags:
- merge
- mergekit
- lazymergekit
- Kukedlc/NeuralGlitch-Yam-Peleg-7B-DT
- Kukedlc/Fasciculus-Arcuatus-7B-slerp
- Kukedlc/Neural4gsm8k base_model:
- Kukedlc/NeuralGlitch-Yam-Peleg-7B-DT
- Kukedlc/Fasciculus-Arcuatus-7B-slerp
- Kukedlc/Neural4gsm8k license: apache-2.0
NeuralKrishna-7B-v3
NeuralKrishna-7B-v3 is a merge of the following models using LazyMergekit:
🧩 Configuration
models:
- model: mlabonne/Monarch-7B
# no parameters necessary for base model
- model: Kukedlc/NeuralGlitch-Yam-Peleg-7B-DT
parameters:
density: 0.65
weight: 0.36
- model: Kukedlc/Fasciculus-Arcuatus-7B-slerp
parameters:
density: 0.6
weight: 0.34
- model: Kukedlc/Neural4gsm8k
parameters:
density: 0.6
weight: 0.3
merge_method: dare_ties
base_model: mlabonne/Monarch-7B
parameters:
int8_mask: true
dtype: bfloat16
random_seed: 0
💻 Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Kukedlc/NeuralKrishna-7B-v3"
messages = [{"role": "user", "content": "What is a large language model?"}]
tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
- Created
- Sep 11, 2024
- Updated
- Sep 12, 2024