nvidia uses the LLaMAForCausalLM string in their config.json, example… #9485
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
… nvidia/Llama3-ChatQA-2-8B
ggerganov
approved these changes
Sep 15, 2024
dsx1986
pushed a commit
to dsx1986/llama.cpp
that referenced
this pull request
Oct 29, 2024
Co-authored-by: Csaba Kecskemeti <[email protected]>
arthw
pushed a commit
to arthw/llama.cpp
that referenced
this pull request
Nov 15, 2024
Co-authored-by: Csaba Kecskemeti <[email protected]>
arthw
pushed a commit
to arthw/llama.cpp
that referenced
this pull request
Nov 18, 2024
Co-authored-by: Csaba Kecskemeti <[email protected]>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Nvidia uses the
LLaMAForCausalLMstring in their config.json so though there's support for LlamaForCausalLM@Model.register("LlamaForCausalLM", "MistralForCausalLM", "MixtralForCausalLM")the conversion failes on the case.
I've added the
LLaMAForCausalLMExample models with this arch string:
nvidia/Llama3-ChatQA-2-8B
nvidia/Llama3-ChatQA-2-70B
I have read the contributing guidelines
Self-reported review complexity: