Comments (4)
Information on the the language composition of the pretraining dataset would also be welcome, as there are no mention on multilingual capabilities of the model in the linked blog post.
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I would like to work on this project!
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Upvote thread
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FWIW Mistral currently sits in the bottom 5 of the live tracker of LLM openness:
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Related Issues (20)
- "evaluation pipeline" public?
- [Mistral 7B mistral-7b-instruct-v0.1.Q8_0.gguf] Wrong text "quoted" while presented as real HOT 3
- Friendly Reminder while Generating the output
- Evaluation Pipeline
- Mistral's tokenizer is not optimized
- [MISTRAL AI ERROR] Mistral AI responding with Unexpected role RoleEnum.tool error HOT 2
- CUDA EXTENSION NOT INSTALLED nvcr.io/nvidia/pytorch:22.12-py3 HOT 1
- Training code HOT 1
- Question about Mixtral MLP section
- Missing the params.json HOT 2
- Fine Tuning Mistral 7b HOT 3
- I am unable to build the vLLM Container HOT 4
- Not completing answer
- Did you run some cuda functions before calling NumCudaDevices() that might have already set an error? Error 804: forward compatibility was attempted on non supported HW HOT 1
- How to use a prompt for text analysis? HOT 6
- JSON response format failing to retrieve clean JSON
- Q: Why rotary embedding applied only to queries and keys?
- Did Mistral-7B-Instruct-v0.2 use Sliding Window Attention (SWA)?
- AI generates responses or conversation without any human input
- PAD token missing ? HOT 1
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