Text Generation
Transformers
GGUF
Safetensors
Safetensors
mistral
text-generation-inference
Merge
7b
mistralai/Mistral-7B-Instruct-v0.1
jondurbin/bagel-dpo-7b-v0.1
dataset:ai2_arc
dataset:unalignment/spicy-3.1
dataset:codeparrot/apps
dataset:facebook/belebele
dataset:boolq
dataset:jondurbin/cinematika-v0.1
dataset:drop
dataset:lmsys/lmsys-chat-1m
dataset:TIGER-Lab/MathInstruct
dataset:cais/mmlu
dataset:Muennighoff/natural-instructions
dataset:openbookqa
dataset:piqa
dataset:Vezora/Tested-22k-Python-Alpaca
dataset:cakiki/rosetta-code
dataset:Open-Orca/SlimOrca
dataset:spider
dataset:squad_v2
dataset:migtissera/Synthia-v1.3
dataset:datasets/winogrande
dataset:nvidia/HelpSteer
dataset:Intel/orca_dpo_pairs
dataset:unalignment/toxic-dpo-v0.1
dataset:jondurbin/truthy-dpo-v0.1
dataset:allenai/ultrafeedback_binarized_cleaned
Inference Endpoints
llama-cpp
gguf-my-repo
conversational
metadata
license: apache-2.0
tags:
- Safetensors
- mistral
- text-generation-inference
- merge
- 7b
- mistralai/Mistral-7B-Instruct-v0.1
- jondurbin/bagel-dpo-7b-v0.1
- transformers
- safetensors
- text-generation
- dataset:ai2_arc
- dataset:unalignment/spicy-3.1
- dataset:codeparrot/apps
- dataset:facebook/belebele
- dataset:boolq
- dataset:jondurbin/cinematika-v0.1
- dataset:drop
- dataset:lmsys/lmsys-chat-1m
- dataset:TIGER-Lab/MathInstruct
- dataset:cais/mmlu
- dataset:Muennighoff/natural-instructions
- dataset:openbookqa
- dataset:piqa
- dataset:Vezora/Tested-22k-Python-Alpaca
- dataset:cakiki/rosetta-code
- dataset:Open-Orca/SlimOrca
- dataset:spider
- dataset:squad_v2
- dataset:migtissera/Synthia-v1.3
- dataset:datasets/winogrande
- dataset:nvidia/HelpSteer
- dataset:Intel/orca_dpo_pairs
- dataset:unalignment/toxic-dpo-v0.1
- dataset:jondurbin/truthy-dpo-v0.1
- dataset:allenai/ultrafeedback_binarized_cleaned
- license:apache-2.0
- autotrain_compatible
- endpoints_compatible
- region:us
- llama-cpp
- gguf-my-repo
DavidAU/bagel-dpo-7b-v0.1-Mistral-7B-Instruct-v0.1-Q6_K-GGUF
This model was converted to GGUF format from MaziyarPanahi/bagel-dpo-7b-v0.1-Mistral-7B-Instruct-v0.1
using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Use with llama.cpp
Install llama.cpp through brew.
brew install ggerganov/ggerganov/llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
llama-cli --hf-repo DavidAU/bagel-dpo-7b-v0.1-Mistral-7B-Instruct-v0.1-Q6_K-GGUF --model bagel-dpo-7b-v0.1-mistral-7b-instruct-v0.1.Q6_K.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo DavidAU/bagel-dpo-7b-v0.1-Mistral-7B-Instruct-v0.1-Q6_K-GGUF --model bagel-dpo-7b-v0.1-mistral-7b-instruct-v0.1.Q6_K.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m bagel-dpo-7b-v0.1-mistral-7b-instruct-v0.1.Q6_K.gguf -n 128