Comments (3)
We're working on it. If we're lucky, we'll publish both Command-R and Command-R+ quantizations within 4-5 days.
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Command-R+
is complete as well. You can find the model on the hub.
from aqlm.
Command-R
is complete. You can find the model on the hub.
Command-R+
will most likely be done in a few days.
from aqlm.
Related Issues (20)
- print Total number of parameters is incomplete. HOT 3
- Aqlm models cannot be trained in parallel. HOT 5
- Question: How to choose a dataset for quantizing with AQLM a model like Mistral 7b-Instruct v0.2 HOT 9
- aqlm/inference_kernels/cuda_kernel.cu compilation errors HOT 10
- DBRX Support HOT 6
- Any lightweight OpenAI API compatible HTTP server that can be used to serve AQLM models yet? HOT 1
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- Fine-tune colab example doesn't work HOT 2
- Issues while attempting LLaMA-3 Quantization HOT 22
- Request: Phi-3-mini-128k-instruct Support HOT 2
- Query on Evaluation Support for C4 Validation HOT 5
- KV Cache Quantization HOT 3
- Minor race condition in CPU 2x8 inference code HOT 2
- Finetuning ISTA-DASLab/Mistral-7B-Instruct-v0.2-AQLM-2Bit-2x8: RuntimeError: CUDA error: invalid argument HOT 1
- Actual bitrate of models on github? HOT 4
- Request for the Llama-2-13B with AQLM (2x8 scheme) HOT 3
- How to run perplexity eval on HF hub models? HOT 1
- when load Llama, AutoConfig will occur error. HOT 2
- Request for Nvidia's RAG Implementation of Llama-3-70B "ChatQA 1.5" HOT 7
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