kyleliang919 / Awesome_Llama_V2

An aggregated collection of llama_v2 s finetuned on different tasks/domains, sometimes they come with different name

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Awesome_Llama_V2

An aggregated collection of llama_v2 s finetuned on different tasks/domains, sometimes they come with different name and can not be properly filtered by huggingface models. Quality verification is done manually and qualitatively, it's based on my personal opinion of whether the model is usable so bar could be rather low, feel free to complain by submitting an issue or PR if you disagree.

Disclaimer:

This list is neither conclusive nor comprehensive, since I am too lazy to include all the gazillons of lora adapted models, there might be more good and fun ones out there.

Finetuned Llama_V2_7B

Math

Model Name Prompt Template Quality Verified Chat Vocab Size
WizardLM/WizardMath-7B-V1.0 Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n{instruction}\n\n### Response: Let's think step by step. 32001
TIGER-Lab/MAmmoTH-7B Unknown 32001

Coding

Model Name Prompt Template Quality Verified Chat Vocab Size Language
WizardLM/WizardCoder-Python-7B-V1.0 Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n{instruction}\n\n### Response: 32001 Python
NumbersStation/nsql-llama-2-7B N/A 32000 SQL
TIGER-Lab/MAmmoTH-Coder-7B Unknown 32017 General

Language

Model Name Prompt Template Quality Verified Chat Vocab Size Language
elyza/ELYZA-japanese-Llama-2-7b N/A 32000 Japanese
elyza/ELYZA-japanese-Llama-2-7b-instruct <s>[INST] <<SYS>>\nあなたは誠実で優秀な日本人のアシスタントです。\n<</SYS>>\n\n{instruction} [/INST]"</s> 32000 Japanese
elyza/ELYZA-japanese-Llama-2-7b-fast N/A 45043 Japanese
elyza/ELYZA-japanese-Llama-2-7b-fast-instruct <s>[INST] <<SYS>>\nあなたは誠実で優秀な日本人のアシスタントです。\n<</SYS>>\n\n{instruction} [/INST]"</s> 45043 Japanese
kfkas/Llama-2-ko-7b-Chat 아래는 작업을 설명하는 명령어입니다. 요청을 적절히 완료하는 응답을 작성하세요.\n\n### 명령어:\n{x}\n\n### 응답: 46336 Korean
beomi/llama-2-ko-7b N/A 46336 Korean
LinkSoul/Chinese-Llama-2-7b [INST] <<SYS>>\nYou are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.\n\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.\n<</SYS>>\n\n{} [/INST] 32000 Chinese
FlagAlpha/Atom-7B-Chat <s>Human: {prompt}\n</s><s>Assistant: 65000 Chinese
flozi00/Llama-2-7b-german-assistant-v3 ### User:{prompt}\n### Assistant: 32000 German
LeoLM/leo-hessianai-7b-chat <|im_start|>system Dies ist eine Unterhaltung zwischen einem intelligenten, hilfsbereitem KI-Assistenten und einem Nutzer. Der Assistent gibt ausführliche, hilfreiche und ehrliche Antworten.<|im_end|> <|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant\n 32128 German
LeoLM/leo-hessianai-7b-chat-bilingual <|im_start|>system Dies ist eine Unterhaltung zwischen einem intelligenten, hilfsbereitem KI-Assistenten und einem Nutzer. Der Assistent gibt ausführliche, hilfreiche und ehrliche Antworten.<|im_end|> <|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant\n 32128 German and English
caracena/llamav2-spanish-alpaca Unkonwn 32000 Spanish

Tools (APIs)

Model Name Prompt Template Quality Verified Chat Vocab Size Tool
ToolBench/ToolLlaMA-2-7b System:{system prompt}\nUser:{prompt}\nAssistant: 32000 RapidAPI

Astronomy

Model Name Prompt Template Quality Verified Chat Vocab Size
universeTBD/astrollama N/A 32000

Mental Health???

Model Name Prompt Template Quality Verified Chat Vocab Size
klyang/MentaLLaMA-chat-7B Consider this post:{post}Question:{question}Answer: 32000

Note: "✅" indicates models whose quality has been verified and "❌" indicates models that haven't been verified either due to being out side of my domain expertise or my laziness, it's not indicative of the actual quality of the model. (for example, I don't read Korean)

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An aggregated collection of llama_v2 s finetuned on different tasks/domains, sometimes they come with different name