Edit model card

image/png This is the second 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

Three new general purpose instruction following datasets were added on top of the original Stheno dataset (which had certain low quality entries purged/removed). The first two were designed specifically for the Magnum series, to better address prompt adherence and coherence:

This model has been a team effort, and the credits goes to all members of Anthracite.

Training

The training was done for 2 epochs with a learning rate of 1e-05. We used 8x NVIDIA H100 Tensor Core GPUs for the full-parameter fine-tuning of the model.

Built with Axolotl

Safety

...

Downloads last month
207
Safetensors
Model size
32.5B params
Tensor type
BF16
·
Inference Examples
Inference API (serverless) is not available, repository is disabled.

Model tree for anthracite-org/magnum-v1-32b

Base model

Qwen/Qwen1.5-32B
Finetuned
this model
Quantizations
5 models

Datasets used to train anthracite-org/magnum-v1-32b

Space using anthracite-org/magnum-v1-32b 1

Collection including anthracite-org/magnum-v1-32b