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Model: QuantFactory/Einstein-v6.1-Llama3-8B-GGUF Source: Original Platform
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||||||
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---
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language:
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- en
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license: other
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tags:
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- axolotl
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||||||
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- generated_from_trainer
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||||||
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- instruct
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- finetune
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||||||
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- chatml
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||||||
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- gpt4
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||||||
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- synthetic data
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- science
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||||||
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- physics
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||||||
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- chemistry
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||||||
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- biology
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- math
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- llama
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- llama3
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base_model: meta-llama/Meta-Llama-3-8B
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datasets:
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||||||
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- allenai/ai2_arc
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- camel-ai/physics
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- camel-ai/chemistry
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- camel-ai/biology
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- camel-ai/math
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- metaeval/reclor
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||||||
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- openbookqa
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||||||
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- mandyyyyii/scibench
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||||||
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- derek-thomas/ScienceQA
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- TIGER-Lab/ScienceEval
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- jondurbin/airoboros-3.2
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- LDJnr/Capybara
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||||||
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- Cot-Alpaca-GPT4-From-OpenHermes-2.5
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- STEM-AI-mtl/Electrical-engineering
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- knowrohit07/saraswati-stem
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||||||
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- sablo/oasst2_curated
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- lmsys/lmsys-chat-1m
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- TIGER-Lab/MathInstruct
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- bigbio/med_qa
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- meta-math/MetaMathQA-40K
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- openbookqa
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- piqa
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- metaeval/reclor
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- derek-thomas/ScienceQA
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- scibench
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- sciq
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- Open-Orca/SlimOrca
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||||||
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- migtissera/Synthia-v1.3
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- TIGER-Lab/ScienceEval
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- allenai/WildChat
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- microsoft/orca-math-word-problems-200k
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- openchat/openchat_sharegpt4_dataset
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- teknium/GPTeacher-General-Instruct
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||||||
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- m-a-p/CodeFeedback-Filtered-Instruction
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- totally-not-an-llm/EverythingLM-data-V3
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- HuggingFaceH4/no_robots
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||||||
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- OpenAssistant/oasst_top1_2023-08-25
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||||||
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- WizardLM/WizardLM_evol_instruct_70k
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model-index:
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||||||
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- name: Einstein-v6.1-Llama3-8B
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results:
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- task:
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||||||
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type: text-generation
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||||||
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name: Text Generation
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dataset:
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name: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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args:
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num_few_shot: 25
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metrics:
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||||||
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- type: acc_norm
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||||||
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value: 62.46
|
||||||
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name: normalized accuracy
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||||||
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source:
|
||||||
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
|
||||||
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name: Open LLM Leaderboard
|
||||||
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- task:
|
||||||
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type: text-generation
|
||||||
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name: Text Generation
|
||||||
|
dataset:
|
||||||
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name: HellaSwag (10-Shot)
|
||||||
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type: hellaswag
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||||||
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split: validation
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||||||
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args:
|
||||||
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num_few_shot: 10
|
||||||
|
metrics:
|
||||||
|
- type: acc_norm
|
||||||
|
value: 82.41
|
||||||
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name: normalized accuracy
|
||||||
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source:
|
||||||
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
|
||||||
|
name: Open LLM Leaderboard
|
||||||
|
- task:
|
||||||
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type: text-generation
|
||||||
|
name: Text Generation
|
||||||
|
dataset:
|
||||||
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name: MMLU (5-Shot)
|
||||||
|
type: cais/mmlu
|
||||||
|
config: all
|
||||||
|
split: test
|
||||||
|
args:
|
||||||
|
num_few_shot: 5
|
||||||
|
metrics:
|
||||||
|
- type: acc
|
||||||
|
value: 66.19
|
||||||
|
name: accuracy
|
||||||
|
source:
|
||||||
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
|
||||||
|
name: Open LLM Leaderboard
|
||||||
|
- task:
|
||||||
|
type: text-generation
|
||||||
|
name: Text Generation
|
||||||
|
dataset:
|
||||||
|
name: TruthfulQA (0-shot)
|
||||||
|
type: truthful_qa
|
||||||
|
config: multiple_choice
|
||||||
|
split: validation
|
||||||
|
args:
|
||||||
|
num_few_shot: 0
|
||||||
|
metrics:
|
||||||
|
- type: mc2
|
||||||
|
value: 55.1
|
||||||
|
source:
|
||||||
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
|
||||||
|
name: Open LLM Leaderboard
|
||||||
|
- task:
|
||||||
|
type: text-generation
|
||||||
|
name: Text Generation
|
||||||
|
dataset:
|
||||||
|
name: Winogrande (5-shot)
|
||||||
|
type: winogrande
|
||||||
|
config: winogrande_xl
|
||||||
|
split: validation
|
||||||
|
args:
|
||||||
|
num_few_shot: 5
|
||||||
|
metrics:
|
||||||
|
- type: acc
|
||||||
|
value: 79.32
|
||||||
|
name: accuracy
|
||||||
|
source:
|
||||||
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
|
||||||
|
name: Open LLM Leaderboard
|
||||||
|
- task:
|
||||||
|
type: text-generation
|
||||||
|
name: Text Generation
|
||||||
|
dataset:
|
||||||
|
name: GSM8k (5-shot)
|
||||||
|
type: gsm8k
|
||||||
|
config: main
|
||||||
|
split: test
|
||||||
|
args:
|
||||||
|
num_few_shot: 5
|
||||||
|
metrics:
|
||||||
|
- type: acc
|
||||||
|
value: 66.11
|
||||||
|
name: accuracy
|
||||||
|
source:
|
||||||
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
|
||||||
|
name: Open LLM Leaderboard
|
||||||
|
- task:
|
||||||
|
type: text-generation
|
||||||
|
name: Text Generation
|
||||||
|
dataset:
|
||||||
|
name: IFEval (0-Shot)
|
||||||
|
type: HuggingFaceH4/ifeval
|
||||||
|
args:
|
||||||
|
num_few_shot: 0
|
||||||
|
metrics:
|
||||||
|
- type: inst_level_strict_acc and prompt_level_strict_acc
|
||||||
|
value: 45.68
|
||||||
|
name: strict accuracy
|
||||||
|
source:
|
||||||
|
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
|
||||||
|
name: Open LLM Leaderboard
|
||||||
|
- task:
|
||||||
|
type: text-generation
|
||||||
|
name: Text Generation
|
||||||
|
dataset:
|
||||||
|
name: BBH (3-Shot)
|
||||||
|
type: BBH
|
||||||
|
args:
|
||||||
|
num_few_shot: 3
|
||||||
|
metrics:
|
||||||
|
- type: acc_norm
|
||||||
|
value: 29.38
|
||||||
|
name: normalized accuracy
|
||||||
|
source:
|
||||||
|
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
|
||||||
|
name: Open LLM Leaderboard
|
||||||
|
- task:
|
||||||
|
type: text-generation
|
||||||
|
name: Text Generation
|
||||||
|
dataset:
|
||||||
|
name: MATH Lvl 5 (4-Shot)
|
||||||
|
type: hendrycks/competition_math
|
||||||
|
args:
|
||||||
|
num_few_shot: 4
|
||||||
|
metrics:
|
||||||
|
- type: exact_match
|
||||||
|
value: 5.74
|
||||||
|
name: exact match
|
||||||
|
source:
|
||||||
|
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
|
||||||
|
name: Open LLM Leaderboard
|
||||||
|
- task:
|
||||||
|
type: text-generation
|
||||||
|
name: Text Generation
|
||||||
|
dataset:
|
||||||
|
name: GPQA (0-shot)
|
||||||
|
type: Idavidrein/gpqa
|
||||||
|
args:
|
||||||
|
num_few_shot: 0
|
||||||
|
metrics:
|
||||||
|
- type: acc_norm
|
||||||
|
value: 4.25
|
||||||
|
name: acc_norm
|
||||||
|
source:
|
||||||
|
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
|
||||||
|
name: Open LLM Leaderboard
|
||||||
|
- task:
|
||||||
|
type: text-generation
|
||||||
|
name: Text Generation
|
||||||
|
dataset:
|
||||||
|
name: MuSR (0-shot)
|
||||||
|
type: TAUR-Lab/MuSR
|
||||||
|
args:
|
||||||
|
num_few_shot: 0
|
||||||
|
metrics:
|
||||||
|
- type: acc_norm
|
||||||
|
value: 11.23
|
||||||
|
name: acc_norm
|
||||||
|
source:
|
||||||
|
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
|
||||||
|
name: Open LLM Leaderboard
|
||||||
|
- task:
|
||||||
|
type: text-generation
|
||||||
|
name: Text Generation
|
||||||
|
dataset:
|
||||||
|
name: MMLU-PRO (5-shot)
|
||||||
|
type: TIGER-Lab/MMLU-Pro
|
||||||
|
config: main
|
||||||
|
split: test
|
||||||
|
args:
|
||||||
|
num_few_shot: 5
|
||||||
|
metrics:
|
||||||
|
- type: acc
|
||||||
|
value: 23.68
|
||||||
|
name: accuracy
|
||||||
|
source:
|
||||||
|
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Weyaxi/Einstein-v6.1-Llama3-8B
|
||||||
|
name: Open LLM Leaderboard
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
[](https://hf.co/QuantFactory)
|
||||||
|
|
||||||
|
|
||||||
|
# QuantFactory/Einstein-v6.1-Llama3-8B-GGUF
|
||||||
|
This is quantized version of [Weyaxi/Einstein-v6.1-Llama3-8B](https://huggingface.co/Weyaxi/Einstein-v6.1-Llama3-8B) created using llama.cpp
|
||||||
|
|
||||||
|
# Original Model Card
|
||||||
|
|
||||||
|

|
||||||
|
|
||||||
|
# 🔬 Einstein-v6.1-Llama3-8B
|
||||||
|
|
||||||
|
This model is a full fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on diverse datasets.
|
||||||
|
|
||||||
|
This model is finetuned using `8xRTX3090` + `1xRTXA6000` using [axolotl](https://github.com/OpenAccess-AI-Collective/axolotl).
|
||||||
|
|
||||||
|
This model's training was sponsored by [sablo.ai](https://sablo.ai).
|
||||||
|
|
||||||
|
<details><summary>See axolotl config</summary>
|
||||||
|
|
||||||
|
axolotl version: `0.4.0`
|
||||||
|
```yaml
|
||||||
|
base_model: meta-llama/Meta-Llama-3-8B
|
||||||
|
model_type: LlamaForCausalLM
|
||||||
|
tokenizer_type: AutoTokenizer
|
||||||
|
|
||||||
|
load_in_8bit: false
|
||||||
|
load_in_4bit: false
|
||||||
|
strict: false
|
||||||
|
|
||||||
|
chat_template: chatml
|
||||||
|
datasets:
|
||||||
|
- path: data/merged_all.json
|
||||||
|
ds_type: json
|
||||||
|
type: alpaca
|
||||||
|
conversation: chatml
|
||||||
|
|
||||||
|
- path: data/gpteacher-instruct-special-alpaca.json
|
||||||
|
ds_type: json
|
||||||
|
type: gpteacher
|
||||||
|
conversation: chatml
|
||||||
|
|
||||||
|
- path: data/wizardlm_evol_instruct_70k_random_half.json
|
||||||
|
ds_type: json
|
||||||
|
type: alpaca
|
||||||
|
conversation: chatml
|
||||||
|
|
||||||
|
- path: data/capybara_sharegpt.json
|
||||||
|
ds_type: json
|
||||||
|
type: sharegpt
|
||||||
|
conversation: chatml
|
||||||
|
|
||||||
|
- path: data/synthia-v1.3_sharegpt_12500.json
|
||||||
|
ds_type: json
|
||||||
|
type: sharegpt
|
||||||
|
conversation: chatml
|
||||||
|
|
||||||
|
- path: data/cot_alpaca_gpt4_extracted_openhermes_2.5_sharegpt.json
|
||||||
|
ds_type: json
|
||||||
|
type: sharegpt
|
||||||
|
conversation: chatml
|
||||||
|
|
||||||
|
- path: data/slimorca_dedup_filtered_95k_sharegpt.json
|
||||||
|
ds_type: json
|
||||||
|
type: sharegpt
|
||||||
|
conversation: chatml
|
||||||
|
|
||||||
|
- path: data/airoboros_3.2_without_contextual_slimorca_orca_sharegpt.json
|
||||||
|
ds_type: json
|
||||||
|
type: sharegpt
|
||||||
|
conversation: chatml
|
||||||
|
|
||||||
|
- path: data/allenai_wild_chat_gpt4_english_toxic_random_half_4k_sharegpt.json
|
||||||
|
ds_type: json
|
||||||
|
type: sharegpt
|
||||||
|
strict: false
|
||||||
|
conversation: chatml
|
||||||
|
|
||||||
|
- path: data/pippa_bagel_repo_3k_sharegpt.json
|
||||||
|
ds_type: json
|
||||||
|
type: sharegpt
|
||||||
|
conversation: chatml
|
||||||
|
|
||||||
|
- path: data/gpt4_data_lmys_1m_sharegpt.json
|
||||||
|
ds_type: json
|
||||||
|
type: sharegpt
|
||||||
|
conversation: chatml
|
||||||
|
|
||||||
|
- path: data/sharegpt_gpt4_english.json
|
||||||
|
ds_type: json
|
||||||
|
type: sharegpt
|
||||||
|
conversation: chatml
|
||||||
|
|
||||||
|
- path: data/no_robots_sharegpt.json
|
||||||
|
ds_type: json
|
||||||
|
type: sharegpt
|
||||||
|
strict: false
|
||||||
|
conversation: chatml
|
||||||
|
|
||||||
|
- path: data/oasst_top1_from_fusechatmixture_sharegpt.json
|
||||||
|
ds_type: json
|
||||||
|
type: sharegpt
|
||||||
|
strict: false
|
||||||
|
conversation: chatml
|
||||||
|
|
||||||
|
- path: data/everythinglm-data-v3_sharegpt.json
|
||||||
|
ds_type: json
|
||||||
|
type: sharegpt
|
||||||
|
strict: false
|
||||||
|
conversation: chatml
|
||||||
|
|
||||||
|
dataset_prepared_path: last_run_prepared
|
||||||
|
val_set_size: 0.002
|
||||||
|
|
||||||
|
output_dir: ./Einstein-v6.1-Llama3-8B-model
|
||||||
|
|
||||||
|
sequence_len: 8192
|
||||||
|
sample_packing: true
|
||||||
|
pad_to_sequence_len: true
|
||||||
|
eval_sample_packing: false
|
||||||
|
|
||||||
|
wandb_project: Einstein
|
||||||
|
wandb_entity:
|
||||||
|
wandb_watch:
|
||||||
|
wandb_name: Einstein-v6.1-Llama3-2-epoch
|
||||||
|
wandb_log_model:
|
||||||
|
hub_model_id: Weyaxi/Einstein-v6.1-Llama3-8B
|
||||||
|
|
||||||
|
save_safetensors: true
|
||||||
|
|
||||||
|
gradient_accumulation_steps: 4
|
||||||
|
micro_batch_size: 1
|
||||||
|
num_epochs: 2
|
||||||
|
optimizer: adamw_bnb_8bit # look
|
||||||
|
lr_scheduler: cosine
|
||||||
|
learning_rate: 0.000005 # look
|
||||||
|
|
||||||
|
train_on_inputs: false
|
||||||
|
group_by_length: false
|
||||||
|
bf16: true
|
||||||
|
fp16: false
|
||||||
|
tf32: false
|
||||||
|
|
||||||
|
gradient_checkpointing: true
|
||||||
|
early_stopping_patience:
|
||||||
|
resume_from_checkpoint:
|
||||||
|
local_rank:
|
||||||
|
logging_steps: 1
|
||||||
|
xformers_attention:
|
||||||
|
flash_attention: true
|
||||||
|
|
||||||
|
warmup_steps: 10
|
||||||
|
evals_per_epoch: 2
|
||||||
|
eval_table_size:
|
||||||
|
eval_table_max_new_tokens: 128
|
||||||
|
saves_per_epoch: 2
|
||||||
|
debug:
|
||||||
|
|
||||||
|
deepspeed: zero3_bf16_cpuoffload_params.json
|
||||||
|
weight_decay: 0.0
|
||||||
|
fsdp:
|
||||||
|
fsdp_config:
|
||||||
|
special_tokens:
|
||||||
|
bos_token: "<s>"
|
||||||
|
eos_token: "<|im_end|>"
|
||||||
|
unk_token: "<unk>"
|
||||||
|
pad_token: <|end_of_text|> # changed
|
||||||
|
tokens:
|
||||||
|
- "<|im_start|>"
|
||||||
|
```
|
||||||
|
</details><br>
|
||||||
|
|
||||||
|
# 💬 Prompt Template
|
||||||
|
|
||||||
|
You can use ChatML prompt template while using the model:
|
||||||
|
|
||||||
|
### ChatML
|
||||||
|
|
||||||
|
```
|
||||||
|
<|im_start|>system
|
||||||
|
{system}<|im_end|>
|
||||||
|
<|im_start|>user
|
||||||
|
{user}<|im_end|>
|
||||||
|
<|im_start|>assistant
|
||||||
|
{asistant}<|im_end|>
|
||||||
|
```
|
||||||
|
|
||||||
|
This prompt template is available as a [chat template](https://huggingface.co/docs/transformers/main/chat_templating), which means you can format messages using the
|
||||||
|
`tokenizer.apply_chat_template()` method:
|
||||||
|
|
||||||
|
```python
|
||||||
|
messages = [
|
||||||
|
{"role": "system", "content": "You are helpful AI asistant."},
|
||||||
|
{"role": "user", "content": "Hello!"}
|
||||||
|
]
|
||||||
|
gen_input = tokenizer.apply_chat_template(message, return_tensors="pt")
|
||||||
|
model.generate(**gen_input)
|
||||||
|
```
|
||||||
|
|
||||||
|
# 📊 Datasets used in this model
|
||||||
|
|
||||||
|
The datasets used to train this model are listed in the metadata section of the model card.
|
||||||
|
|
||||||
|
Please note that certain datasets mentioned in the metadata may have undergone filtering based on various criteria.
|
||||||
|
|
||||||
|
The results of this filtering process and its outcomes are in the data folder of this repository:
|
||||||
|
|
||||||
|
[Weyaxi/Einstein-v6.1-Llama3-8B/data](https://huggingface.co/Weyaxi/Einstein-v6.1-Llama3-8B/tree/main/data)
|
||||||
|
|
||||||
|
# 🔄 Quantizationed versions
|
||||||
|
|
||||||
|
## GGUF [@bartowski](https://huggingface.co/bartowski)
|
||||||
|
|
||||||
|
- https://huggingface.co/bartowski/Einstein-v6.1-Llama3-8B-GGUF
|
||||||
|
|
||||||
|
## ExLlamaV2 [@bartowski](https://huggingface.co/bartowski)
|
||||||
|
|
||||||
|
- https://huggingface.co/bartowski/Einstein-v6.1-Llama3-8B-exl2
|
||||||
|
|
||||||
|
## AWQ [@solidrust](https://huggingface.co/solidrust)
|
||||||
|
|
||||||
|
- https://huggingface.co/solidrust/Einstein-v6.1-Llama3-8B-AWQ
|
||||||
|
|
||||||
|
# 🎯 [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
|
||||||
|
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__Einstein-v6.1-Llama3-8B)
|
||||||
|
|
||||||
|
| Metric |Value|
|
||||||
|
|---------------------------------|----:|
|
||||||
|
|Avg. |68.60|
|
||||||
|
|AI2 Reasoning Challenge (25-Shot)|62.46|
|
||||||
|
|HellaSwag (10-Shot) |82.41|
|
||||||
|
|MMLU (5-Shot) |66.19|
|
||||||
|
|TruthfulQA (0-shot) |55.10|
|
||||||
|
|Winogrande (5-shot) |79.32|
|
||||||
|
|GSM8k (5-shot) |66.11|
|
||||||
|
|
||||||
|
# 🎯 [Open LLM Leaderboard v2 Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
|
||||||
|
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__Einstein-v6.1-Llama3-8B)
|
||||||
|
|
||||||
|
| Metric |Value|
|
||||||
|
|-------------------|----:|
|
||||||
|
|Avg. |19.99|
|
||||||
|
|IFEval (0-Shot) |45.68|
|
||||||
|
|BBH (3-Shot) |29.38|
|
||||||
|
|MATH Lvl 5 (4-Shot)| 5.74|
|
||||||
|
|GPQA (0-shot) | 4.25|
|
||||||
|
|MuSR (0-shot) |11.23|
|
||||||
|
|MMLU-PRO (5-shot) |23.68|
|
||||||
|
|
||||||
|
|
||||||
|
# 📚 Some resources, discussions and reviews aboout this model
|
||||||
|
|
||||||
|
#### 🐦 Announcement tweet:
|
||||||
|
|
||||||
|
- https://twitter.com/Weyaxi/status/1783050724659675627
|
||||||
|
|
||||||
|
#### 🔍 Reddit post in r/LocalLLaMA:
|
||||||
|
|
||||||
|
- https://www.reddit.com/r/LocalLLaMA/comments/1cdlym1/introducing_einstein_v61_based_on_the_new_llama3/
|
||||||
|
|
||||||
|
#### ▶️ Youtube Video(s)
|
||||||
|
|
||||||
|
- [Install Einstein v6.1 Llama3-8B Locally on Windows](https://www.youtube.com/watch?v=VePvv6OM0JY)
|
||||||
|
|
||||||
|
#### 📱 Octopus-V4-3B
|
||||||
|
|
||||||
|
- [Octopus-V4-3B](https://huggingface.co/NexaAIDev/Octopus-v4) leverages the incredible physics capabilities of [Einstein-v6.1-Llama3-8B](https://huggingface.co/Weyaxi/Einstein-v6.1-Llama3-8B) in their model.
|
||||||
|
|
||||||
|
# 🤖 Additional information about training
|
||||||
|
|
||||||
|
This model is full fine-tuned for 2 epoch.
|
||||||
|
|
||||||
|
Total number of steps was 2026.
|
||||||
|
|
||||||
|
<details><summary>Loss graph</summary>
|
||||||
|
|
||||||
|

|
||||||
|
|
||||||
|
</details><br>
|
||||||
|
|
||||||
|
# 🤝 Acknowledgments
|
||||||
|
|
||||||
|
Thanks to [sablo.ai](https://sablo.ai) for sponsoring this model.
|
||||||
|
|
||||||
|
Thanks to all the dataset authors mentioned in the datasets section.
|
||||||
|
|
||||||
|
Thanks to [axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) for making the repository I used to make this model.
|
||||||
|
|
||||||
|
Thanks to all open source AI community.
|
||||||
|
|
||||||
|
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
|
||||||
|
|
||||||
|
If you would like to support me:
|
||||||
|
|
||||||
|
[☕ Buy Me a Coffee](https://www.buymeacoffee.com/weyaxi)
|
||||||
1
configuration.json
Normal file
1
configuration.json
Normal file
@@ -0,0 +1 @@
|
|||||||
|
{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
|
||||||
Reference in New Issue
Block a user