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Model: beberik/Nyxene-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-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: 68.34
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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-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-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: 65.09
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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-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: 57.5
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-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: 79.08
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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-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: 51.78
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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-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-11B. Like [OmniMix](https://huggingface.co/Undi95/Mistral-11B-OmniMix) but with new models.
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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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- [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B)
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- [fblgit/juanako-7b-UNA](https://huggingface.co/fblgit/juanako-7b-UNA)
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- [ehartford/dolphin-2.1-mistral-7b](https://huggingface.co/ehartford/dolphin-2.1-mistral-7b)
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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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dolphin-juanako-11B :
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```
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slices:
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- sources:
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- model: fblgit/juanako-7b-UNA
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layer_range: [0, 24]
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- sources:
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- model: ehartford/dolphin-2.1-mistral-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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Starling-NeuralHermes-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: mlabonne/NeuralHermes-2.5-Mistral-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: dolphin-juanako-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: dolphin-juanako-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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# [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-11B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |67.72|
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|AI2 Reasoning Challenge (25-Shot)|68.34|
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|HellaSwag (10-Shot) |84.54|
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|MMLU (5-Shot) |65.09|
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|TruthfulQA (0-shot) |57.50|
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|Winogrande (5-shot) |79.08|
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|GSM8k (5-shot) |51.78|
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25
config.json
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config.json
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{
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"_name_or_path": "./beberik/Nyxene-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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model-00001-of-00003.safetensors
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"<unk>",
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"single_word": false
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}
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"added_tokens_decoder": {
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"bos_token": "<s>",
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"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": true,
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"model_max_length": 2048,
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"pad_token": "</s>",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": true
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}
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