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Model: MaziyarPanahi/calme-2.8-qwen2-7b Source: Original Platform
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README.md
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---
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language:
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- en
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license: apache-2.0
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library_name: transformers
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tags:
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- chat
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- qwen
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- qwen2
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- finetune
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- chatml
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- OpenHermes-2.5
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- HelpSteer2
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- Orca
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- SlimOrca
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base_model: Qwen/Qwen2-7B
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datasets:
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- nvidia/HelpSteer2
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- teknium/OpenHermes-2.5
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- microsoft/orca-math-word-problems-200k
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- Open-Orca/SlimOrca
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model_name: calme-2.8-qwen2-7b
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pipeline_tag: text-generation
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inference: false
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model_creator: MaziyarPanahi
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quantized_by: MaziyarPanahi
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model-index:
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- name: Qwen2-7B-Instruct-v0.8
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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: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
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num_few_shot: 0
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metrics:
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- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 27.75
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name: strict accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/Qwen2-7B-Instruct-v0.8
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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: BBH (3-Shot)
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type: BBH
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args:
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num_few_shot: 3
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metrics:
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- type: acc_norm
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value: 25.53
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/Qwen2-7B-Instruct-v0.8
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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: MATH Lvl 5 (4-Shot)
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type: hendrycks/competition_math
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args:
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num_few_shot: 4
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metrics:
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- type: exact_match
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value: 15.63
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name: exact match
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/Qwen2-7B-Instruct-v0.8
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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: GPQA (0-shot)
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type: Idavidrein/gpqa
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 5.82
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||||
name: acc_norm
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||||
source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/Qwen2-7B-Instruct-v0.8
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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: MuSR (0-shot)
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type: TAUR-Lab/MuSR
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||||
args:
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num_few_shot: 0
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metrics:
|
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- type: acc_norm
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value: 12.06
|
||||
name: acc_norm
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||||
source:
|
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/Qwen2-7B-Instruct-v0.8
|
||||
name: Open LLM Leaderboard
|
||||
- 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-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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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: 28.51
|
||||
name: accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/Qwen2-7B-Instruct-v0.8
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name: Open LLM Leaderboard
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---
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<img src="./qwen2-fine-tunes-maziyar-panahi.webp" alt="Qwen2 fine-tune" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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# MaziyarPanahi/calme-2.8-qwen2-7b
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This is a fine-tuned version of the `Qwen/Qwen2-7B` model. It aims to improve the base model across all benchmarks.
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# ⚡ Quantized GGUF
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All GGUF models are available here: [MaziyarPanahi/calme-2.8-qwen2-7b-GGUF](https://huggingface.co/MaziyarPanahi/calme-2.8-qwen2-7b-GGUF)
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# 🏆 [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/MaziyarPanahi__Qwen2-7B-Instruct-v0.8-details)
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| Metric |Value|
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||||
|-------------------|----:|
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|Avg. |19.22|
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|IFEval (0-Shot) |27.75|
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|BBH (3-Shot) |25.53|
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|MATH Lvl 5 (4-Shot)|15.63|
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|GPQA (0-shot) | 5.82|
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|MuSR (0-shot) |12.06|
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|MMLU-PRO (5-shot) |28.51|
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# Prompt Template
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This model uses `ChatML` prompt template:
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```
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<|im_start|>system
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{System}
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<|im_end|>
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<|im_start|>user
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{User}
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<|im_end|>
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<|im_start|>assistant
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{Assistant}
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````
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# How to use
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```python
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# Use a pipeline as a high-level helper
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from transformers import pipeline
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messages = [
|
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{"role": "user", "content": "Who are you?"},
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]
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pipe = pipeline("text-generation", model="MaziyarPanahi/calme-2.8-qwen2-7b")
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pipe(messages)
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# Load model directly
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/calme-2.8-qwen2-7b")
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model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/calme-2.8-qwen2-7b")
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```
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config.json
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{
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"_name_or_path": "Qwen/Qwen2-7B",
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"architectures": [
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"Qwen2ForCausalLM"
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"hidden_act": "silu",
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"max_position_embeddings": 131072,
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"max_window_layers": 28,
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"model_type": "qwen2",
|
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"num_attention_heads": 28,
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"num_hidden_layers": 28,
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"num_key_value_heads": 4,
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"rms_norm_eps": 1e-06,
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"rope_theta": 1000000.0,
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"sliding_window": 131072,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"use_cache": false,
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}
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qwen2-fine-tunes-maziyar-panahi.webp
Normal file
BIN
qwen2-fine-tunes-maziyar-panahi.webp
Normal file
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After Width: | Height: | Size: 442 KiB |
20
special_tokens_map.json
Normal file
20
special_tokens_map.json
Normal file
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|
||||
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||||
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|
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|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:a12e3ba5d5e0ad173cf7b408ab8534c6be8cbc6a146714e9c7dc8cf2346603b1
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||||
size 7028043
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43
tokenizer_config.json
Normal file
43
tokenizer_config.json
Normal file
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|
||||
{
|
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BIN
vocab.json
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BIN
vocab.json
(Stored with Git LFS)
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Reference in New Issue
Block a user