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Model: beberik/Nyxene-v2-11B Source: Original Platform
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README.md
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---
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license: cc-by-nc-4.0
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tags:
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- merge
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model-index:
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- name: Nyxene-v2-11B
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results:
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- task:
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type: text-generation
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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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- type: acc_norm
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value: 67.41
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v2-11B
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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
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dataset:
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name: HellaSwag (10-Shot)
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type: hellaswag
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split: validation
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args:
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num_few_shot: 10
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metrics:
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- type: acc_norm
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value: 84.54
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v2-11B
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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
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dataset:
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name: MMLU (5-Shot)
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type: cais/mmlu
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config: all
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 65.26
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v2-11B
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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
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dataset:
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name: TruthfulQA (0-shot)
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type: truthful_qa
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config: multiple_choice
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split: validation
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args:
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num_few_shot: 0
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metrics:
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- type: mc2
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value: 55.62
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v2-11B
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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
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dataset:
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name: Winogrande (5-shot)
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type: winogrande
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config: winogrande_xl
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split: validation
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 79.56
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v2-11B
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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
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dataset:
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name: GSM8k (5-shot)
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type: gsm8k
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 54.66
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v2-11B
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name: Open LLM Leaderboard
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---
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## Description
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This repo contains bf16 files of Nyxene-v2-11B. It feels like with the new models, 1% is no longer needed as in the [previous version](https://huggingface.co/beberik/Nyxene-v1-11B). And yes, new version. Again.
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## Model used
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- [berkeley-nest/Starling-LM-7B-alpha](https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha)
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- [openaccess-ai-collective/DPOpenHermes-7B](https://huggingface.co/openaccess-ai-collective/DPOpenHermes-7B)
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- [fblgit/fblgit/una-cybertron-7b-v2](https://huggingface.co/fblgit/una-cybertron-7b-v2-bf16)
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- [chargoddard/loyal-piano-m7-cdpo](https://huggingface.co/chargoddard/loyal-piano-m7-cdpo)
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## Prompt template
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The best one after further testing is this one:
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```
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<|system|>
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Below is an instruction that describes a task. Write a response that appropriately completes the request.
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<|user|>
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{prompt}
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<|assistant|>
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```
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## The secret sauce
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loyal-piano-cybertron-11B :
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```
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slices:
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- sources:
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- model: fblgit/una-cybertron-7b-v2
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layer_range: [0, 24]
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- sources:
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- model: chargoddard/loyal-piano-m7-cdpo
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layer_range: [8, 32]
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merge_method: passthrough
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dtype: bfloat16
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```
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Starling-DPOHermes-11B :
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```
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slices:
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- sources:
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- model: berkeley-nest/Starling-LM-7B-alpha
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layer_range: [0, 24]
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- sources:
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- model: openaccess-ai-collective/DPOpenHermes-7B
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layer_range: [8, 32]
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merge_method: passthrough
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dtype: bfloat16
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```
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Nyxene-11B :
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```
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slices:
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- sources:
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- model: loyal-piano-cybertron-11B
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layer_range: [0, 48]
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- model: Starling-NeuralHermes-11B
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layer_range: [0, 48]
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merge_method: slerp
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base_model: loyal-piano-cybertron-11B
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parameters:
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t:
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- filter: lm_head
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value: [0.75]
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- filter: embed_tokens
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value: [0.75]
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- filter: self_attn
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value: [0.75, 0.25]
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- filter: mlp
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value: [0.25, 0.75]
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- filter: layernorm
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value: [0.5, 0.5]
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- filter: modelnorm
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value: [0.75]
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- value: 0.5 # fallback for rest of tensors
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dtype: bfloat16
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```
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I use [mergekit](https://github.com/cg123/mergekit) for all the manipulation told here.
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Thanks to the [Undi95](https://huggingface.co/Undi95) for the original [11B mistral merge](https://huggingface.co/Undi95/Mistral-11B-OmniMix) recipe.
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_beberik__Nyxene-v2-11B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |67.84|
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|AI2 Reasoning Challenge (25-Shot)|67.41|
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|HellaSwag (10-Shot) |84.54|
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|MMLU (5-Shot) |65.26|
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|TruthfulQA (0-shot) |55.62|
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|Winogrande (5-shot) |79.56|
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|GSM8k (5-shot) |54.66|
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25
config.json
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{
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"_name_or_path": "./cybertron-loyal-piano-cdpo-11B",
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"architectures": [
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"MistralForCausalLM"
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],
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 48,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.35.0",
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"use_cache": true,
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"vocab_size": 32000
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}
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