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RichardErkhov/
Azure99_-_blossom-v5-34b-gguf

Name: Azure99_-_blossom-v5-34b-gguf
Availability: InStock

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blossom-v5-34b - GGUF

Model creator: https://huggingface.co/Azure99/
Original model: https://huggingface.co/Azure99/blossom-v5-34b/

Name	Quant method	Size
blossom-v5-34b.Q2_K.gguf	Q2_K	11.94GB
blossom-v5-34b.IQ3_XS.gguf	IQ3_XS	13.26GB
blossom-v5-34b.IQ3_S.gguf	IQ3_S	13.99GB
blossom-v5-34b.Q3_K_S.gguf	Q3_K_S	13.93GB
blossom-v5-34b.IQ3_M.gguf	IQ3_M	14.5GB
blossom-v5-34b.Q3_K.gguf	Q3_K	15.51GB
blossom-v5-34b.Q3_K_M.gguf	Q3_K_M	15.51GB
blossom-v5-34b.Q3_K_L.gguf	Q3_K_L	16.89GB
blossom-v5-34b.IQ4_XS.gguf	IQ4_XS	17.36GB
blossom-v5-34b.Q4_0.gguf	Q4_0	18.13GB
blossom-v5-34b.IQ4_NL.gguf	IQ4_NL	18.3GB
blossom-v5-34b.Q4_K_S.gguf	Q4_K_S	18.25GB
blossom-v5-34b.Q4_K.gguf	Q4_K	19.24GB
blossom-v5-34b.Q4_K_M.gguf	Q4_K_M	19.24GB
blossom-v5-34b.Q4_1.gguf	Q4_1	20.1GB
blossom-v5-34b.Q5_0.gguf	Q5_0	22.08GB
blossom-v5-34b.Q5_K_S.gguf	Q5_K_S	22.08GB
blossom-v5-34b.Q5_K.gguf	Q5_K	22.65GB
blossom-v5-34b.Q5_K_M.gguf	Q5_K_M	22.65GB
blossom-v5-34b.Q5_1.gguf	Q5_1	24.05GB
blossom-v5-34b.Q6_K.gguf	Q6_K	26.28GB
blossom-v5-34b.Q8_0.gguf	Q8_0	34.03GB

Original model description:

license: apache-2.0 datasets:

Azure99/blossom-chat-v3
Azure99/blossom-math-v4
Azure99/blossom-wizard-v3
Azure99/blossom-orca-v3 language:
zh
en

BLOSSOM-v5-34b

💻Github • 🚀Blossom Chat Demo

What's new?

The Blossom V5 series models is fully trained using high-quality data distilled from gpt-4-0125-preview, resulting in significant improvements.

Introduction

Blossom is a conversational large language model, fine-tuned on the Blossom Orca/Wizard/Chat/Math mixed dataset based on the Yi-34B pre-trained model. Blossom possesses robust general capabilities and context comprehension. Additionally, the high-quality Chinese and English datasets used for training have been made open source.

Training was conducted in two stages. The first stage used 40K Wizard, 40K Orca, 10K Math single-turn instruction datasets, training for 1 epoch; the second stage used 10K Blossom chat multi-turn dialogue dataset, and 10% randomly sampled data from the first stage, training for 3 epochs.

Inference

Inference is performed in the form of dialogue continuation.

Single-turn dialogue

A chat between a human and an artificial intelligence bot. The bot gives helpful, detailed, and polite answers to the human's questions.
|Human|: hello
|Bot|:

Multi-turn dialogue

A chat between a human and an artificial intelligence bot. The bot gives helpful, detailed, and polite answers to the human's questions.
|Human|: hello
|Bot|: Hello! How can I assist you today?<|endoftext|>
|Human|: Generate a random number using python
|Bot|:

Note: At the end of the Bot's output in the historical conversation, append a <|endoftext|>.

RichardErkhov/Azure99_-_blossom-v5-34b-gguf