Llama-3.1-Nemotron-70B-Instruct is a large language model customized by NVIDIA to improve the helpfulness of LLM generated responses to user queries.
586.1K Pulls 17 Tags Updated 1 year ago
This model was built using a new Smaug recipe for improving performance on real world multi-turn conversations applied to meta-llama/Meta-Llama-3-70B-Instruct.
582 Pulls 11 Tags Updated 2 years ago
Trained through RLHF based off Llama-3-70B-Instruct, high scores on Arena-Hard-Auto.
461 Pulls 12 Tags Updated 1 year ago
200 Pulls 1 Tag Updated 1 year ago
llama3 instruct with extended context
99 Pulls 1 Tag Updated 2 years ago
2,923 Pulls 6 Tags Updated 1 year ago
llama-3-taiwan(70B-Instruct, 70B-Instruct-DPO, 70B-Instruct-128k, 8B-Instruct, 8B-Instruct-DPO) (FP16, Q8_0, Q6_K, Q5_1, Q5_0, Q5_K_M, Q5_K_S, Q4_1, Q4_0, Q4_K_M, Q3_K_L, Q4_K_S, Q3_K_M, Q3_K_S)
3,296 Pulls 70 Tags Updated 1 year ago
watt-tool-70B is a fine-tuned language model based on LLaMa-3.3-70B-Instruct, optimized for tool usage and multi-turn dialogue. It achieves state-of-the-art performance on the Berkeley Function-Calling Leaderboard (BFCL).
1,282 Pulls 1 Tag Updated 1 year ago
I-quants for meta-llama-3.1-70b-instruct-abliterated
930 Pulls 6 Tags Updated 1 year ago
I-quants for llama-3.3-70b-instruct
651 Pulls 11 Tags Updated 1 year ago
583 Pulls 1 Tag Updated 1 year ago
Llama-3-Taiwan-70B is a 70B parameter model finetuned on a large corpus of Traditional Mandarin and English data using the Llama-3 architecture. It demonstrates state-of-the-art performance on various Traditional Mandarin NLP benchmarks.
417 Pulls 1 Tag Updated 1 year ago
The model used is a quantized version of `Llama-3-Taiwan-70B-Instruct`. More details can be found on the website (https://huggingface.co/yentinglin/Llama-3-Taiwan-70B-Instruct)
370 Pulls 11 Tags Updated 1 year ago
I-quants for llama-3.1-nemotron-70b-instruct-hf
249 Pulls 7 Tags Updated 1 year ago
Llama-3.1-SauerkrautLM-70b-Instruct is a fine-tuned Model based on meta-llama/Meta-Llama-3.1-70B-Instruct.
50 Pulls 1 Tag Updated 1 year ago