初始化项目，由ModelHub XC社区提供模型
Model: Noodlz/DolphinStar-12.5B Source: Original Platform
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132
README.md
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README.md
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---
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license: apache-2.0
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---
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Custom Model "Dolphin2Star1" Merged by Noodlz.
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12.5B linear merged from the uncensored mistral 7B v0.2 as the base, with the fine tunes of StarlingLM 7B Beta that's originally mistral 7B v0.1
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have fun =)
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[EDIT] - preset wise it seems like it likes the "ChatML" format.
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[EDIT 2] - Usage Notes - model is sorta picky with the batch size and prompt preset/template. (maybe because merge of ChatML and OpenChat models)
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My current recommended setting & findings
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- Using LM Studio - use the default preset. GPU acceleration to max. prompt eval size to 1024, context length to 32768. this yields me decent, coherant results. ChatML works too but occasionall spits up odd texts after a couple of turns.
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- Using Oobabooga (Windows PC) - runs well using run-in-4bit along with use_flash_attention_2. default presets and everything works just fine.
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- Using OobaBooga (Mac) - [investigating]
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## Instructions Template:
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```
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{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{{ '<s>' }}{% for message in messages %}{{'<|im_start|>' + message['role'] + '
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' + message['content'] + '<|im_end|>' + '
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'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
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' }}{% endif %}
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```
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## Chat Template:
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```
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{%- for message in messages %}
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{%- if message['role'] == 'system' -%}
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{%- if message['content'] -%}
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{{- message['content'] + '\n\n' -}}
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{%- endif -%}
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{%- if user_bio -%}
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{{- user_bio + '\n\n' -}}
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{%- endif -%}
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{%- else -%}
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{%- if message['role'] == 'user' -%}
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{{- name1 + ': ' + message['content'] + '\n'-}}
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{%- else -%}
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{{- name2 + ': ' + message['content'] + '\n' -}}
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{%- endif -%}
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{%- endif -%}
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{%- endfor -%}
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```
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---
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license: apache-2.0
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---
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---
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base_model:
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- cognitivecomputations/dolphin-2.8-mistral-7b-v02
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- NexusFlow/Starling-LM-7B-beta
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# output_folder
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method.
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### Models Merged
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The following models were included in the merge:
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* [cognitivecomputations/dolphin-2.8-mistral-7b-v02](https://huggingface.co/cognitivecomputations/dolphin-2.8-mistral-7b-v02)
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* [NexusFlow/Starling-LM-7B-beta](https://huggingface.co/NexusFlow/Starling-LM-7B-beta)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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merge_method: linear
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parameters:
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weight: 1.0
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slices:
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- sources:
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- model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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layer_range: [0,1]
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- model: NexusFlow/Starling-LM-7B-beta
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layer_range: [0,1]
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parameters:
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weight: 0
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- sources:
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- model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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layer_range: [1,8]
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- sources:
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- model: NexusFlow/Starling-LM-7B-beta
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layer_range: [4,12]
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- sources:
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- model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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layer_range: [8,16]
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- sources:
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- model: NexusFlow/Starling-LM-7B-beta
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layer_range: [12,20]
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- sources:
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- model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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layer_range: [16,24]
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- sources:
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- model: NexusFlow/Starling-LM-7B-beta
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layer_range: [20,28]
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- sources:
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- model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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layer_range: [24,31]
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- sources:
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- model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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layer_range: [31,32]
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- model: NexusFlow/Starling-LM-7B-beta
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layer_range: [31,32]
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parameters:
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weight: 0
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dtype: float16
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tokenizer_source: model:cognitivecomputations/dolphin-2.8-mistral-7b-v02
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```
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added_tokens.json
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{
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"<|im_end|>": 32000,
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"<|im_start|>": 32001
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}
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26
config.json
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config.json
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{
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"_name_or_path": "cognitivecomputations/dolphin-2.8-mistral-7b-v02",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 32000,
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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": 56,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.35.2",
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"use_cache": false,
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"vocab_size": 32002
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}
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41
mergekit_config.yml
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merge_method: linear
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parameters:
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weight: 1.0
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slices:
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- sources:
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- model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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layer_range: [0,1]
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- model: NexusFlow/Starling-LM-7B-beta
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layer_range: [0,1]
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parameters:
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weight: 0
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- sources:
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- model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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layer_range: [1,8]
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- sources:
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- model: NexusFlow/Starling-LM-7B-beta
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layer_range: [4,12]
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- sources:
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- model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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layer_range: [8,16]
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- sources:
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- model: NexusFlow/Starling-LM-7B-beta
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layer_range: [12,20]
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- sources:
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- model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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layer_range: [16,24]
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- sources:
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- model: NexusFlow/Starling-LM-7B-beta
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layer_range: [20,28]
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- sources:
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- model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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layer_range: [24,31]
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- sources:
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- model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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layer_range: [31,32]
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- model: NexusFlow/Starling-LM-7B-beta
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layer_range: [31,32]
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parameters:
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weight: 0
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dtype: float16
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tokenizer_source: model:cognitivecomputations/dolphin-2.8-mistral-7b-v02
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model-00001-of-00003.safetensors
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model-00001-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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size 9909410568
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model-00002-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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model-00003-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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model.safetensors.index.json
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<|im_end|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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91140
tokenizer.json
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91140
tokenizer.json
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BIN
tokenizer.model
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tokenizer.model
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"add_prefix_space": true,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"32000": {
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"content": "<|im_end|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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"32001": {
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"content": "<|im_start|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": false
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}
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},
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"bos_token": "<s>",
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"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{{ bos_token }}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"legacy": true,
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"model_max_length": 1000000000000000019884624838656,
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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": false,
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"use_fast": true
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}
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