license: other
license_name: tongyi-qianwen
license_link: https://huggingface.co/Qwen/Qwen2-72B-Instruct/blob/main/LICENSE
language:
- en
- zh
pipeline_tag: text-generation
tags:
- chat
magnum-32b-v2 - EXL2 4.7bpw rpcal mk2
This is a 4.7bpw EXL2 quant of anthracite-org/magnum-32b-v2
This quant was made using exllamav2-0.1.8 with Bluemoon-light dataset for RP.
I tested this quant shortly in some random RPs (including ones over 8k context) and it seems to work fine.
Prompt Templates
Uses ChatML format like mentioned below.
Original readme below
This is the third in a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet and Opus. This model is fine-tuned on top of Qwen1.5 32B.
Prompting
Model has been Instruct tuned with the ChatML formatting. A typical input would look like this:
"""<|im_start|>user
Hi there!<|im_end|>
<|im_start|>assistant
Nice to meet you!<|im_end|>
<|im_start|>user
Can I ask a question?<|im_end|>
<|im_start|>assistant
"""
Credits
- Stheno dataset (filtered)
- NobodyExistsOnTheInternet/claude_3.5s_single_turn_unslop_filtered
- NobodyExistsOnTheInternet/PhiloGlanSharegpt
- NobodyExistsOnTheInternet/Magpie-Reasoning-Medium-Subset
- kalomaze/Opus_Instruct_25k
- Nopm/Opus_WritingStruct
- Gryphe/Sonnet3.5-SlimOrcaDedupCleaned (A ~16k rows subset)
This model has been a team effort, and the credits goes to all members of Anthracite.
Training
The training was done for 2 epochs. We used 8x NVIDIA H100 Tensor Core GPUs for the full-parameter fine-tuning of the model.
Safety
...