prince-canuma
commited on
Commit
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Parent(s):
e754abc
47730bef7623c762fb31498b0b9e343f6e524c1473f6cc4d3c8fdb14d5e7f411
Browse files- README.md +102 -0
- config.json +32 -0
- merges.txt +0 -0
- model.safetensors.index.json +0 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +188 -0
- vocab.json +0 -0
README.md
ADDED
@@ -0,0 +1,102 @@
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---
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license: apache-2.0
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library_name: transformers
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tags:
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- code
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- granite
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- mlx
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base_model: ibm-granite/granite-34b-code-base
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datasets:
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- bigcode/commitpackft
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- TIGER-Lab/MathInstruct
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- meta-math/MetaMathQA
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- glaiveai/glaive-code-assistant-v3
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- glaive-function-calling-v2
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- bugdaryan/sql-create-context-instruction
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- garage-bAInd/Open-Platypus
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- nvidia/HelpSteer
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metrics:
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- code_eval
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pipeline_tag: text-generation
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inference: true
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model-index:
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- name: granite-34b-code-instruct
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results:
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- task:
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type: text-generation
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dataset:
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name: HumanEvalSynthesis(Python)
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type: bigcode/humanevalpack
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metrics:
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- type: pass@1
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value: 62.2
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name: pass@1
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- type: pass@1
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value: 56.7
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name: pass@1
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- type: pass@1
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value: 62.8
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name: pass@1
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- type: pass@1
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value: 47.6
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name: pass@1
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- type: pass@1
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value: 57.9
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name: pass@1
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- type: pass@1
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value: 41.5
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name: pass@1
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- type: pass@1
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value: 53.0
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name: pass@1
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- type: pass@1
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value: 45.1
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name: pass@1
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- type: pass@1
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value: 50.6
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name: pass@1
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- type: pass@1
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value: 36.0
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name: pass@1
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- type: pass@1
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value: 42.7
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name: pass@1
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- type: pass@1
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value: 23.8
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name: pass@1
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- type: pass@1
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value: 54.9
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name: pass@1
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- type: pass@1
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value: 47.6
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name: pass@1
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- type: pass@1
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value: 55.5
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name: pass@1
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- type: pass@1
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value: 51.2
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name: pass@1
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- type: pass@1
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value: 47.0
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name: pass@1
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- type: pass@1
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value: 45.1
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name: pass@1
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---
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# mlx-community/granite-34b-code-instruct-4bit
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The Model [mlx-community/granite-34b-code-instruct-4bit](https://huggingface.co/mlx-community/granite-34b-code-instruct-4bit) was converted to MLX format from [ibm-granite/granite-34b-code-instruct](https://huggingface.co/ibm-granite/granite-34b-code-instruct) using mlx-lm version **0.13.0**.
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## Use with mlx
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```bash
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pip install mlx-lm
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```
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("mlx-community/granite-34b-code-instruct-4bit")
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response = generate(model, tokenizer, prompt="hello", verbose=True)
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```
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config.json
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{
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"activation_function": "gelu_pytorch_tanh",
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"architectures": [
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"GPTBigCodeForCausalLM"
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],
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"attention_softmax_in_fp32": true,
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"attn_pdrop": 0.1,
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"bos_token_id": 0,
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"embd_pdrop": 0.1,
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"eos_token_id": 0,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt_bigcode",
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"multi_query": true,
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"n_embd": 6144,
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"n_head": 48,
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"n_inner": 24576,
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"n_layer": 88,
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"n_positions": 8192,
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"pad_token_id": 0,
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"quantization": {
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"group_size": 64,
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"bits": 4
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},
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"resid_pdrop": 0.1,
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"scale_attention_softmax_in_fp32": true,
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"scale_attn_weights": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.41.0.dev0",
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"use_cache": true,
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"vocab_size": 49152
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}
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merges.txt
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model.safetensors.index.json
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<|endoftext|>",
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"<fim_prefix>",
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"<fim_middle>",
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"<fim_suffix>",
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"<fim_pad>",
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"<filename>",
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"<gh_stars>",
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"<issue_start>",
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"<issue_comment>",
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"<issue_closed>",
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"<jupyter_start>",
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"<jupyter_text>",
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"<jupyter_code>",
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"<jupyter_output>",
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"<empty_output>",
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"<commit_before>",
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"<commit_msg>",
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"<commit_after>",
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"<reponame>"
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],
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"bos_token": {
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"content": "<|endoftext|>",
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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": "<|endoftext|>",
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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": "<|endoftext|>",
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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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"unk_token": {
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"content": "<|endoftext|>",
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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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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<|endoftext|>",
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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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"1": {
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"content": "<fim_prefix>",
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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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"2": {
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"content": "<fim_middle>",
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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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"3": {
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"content": "<fim_suffix>",
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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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"4": {
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"content": "<fim_pad>",
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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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"5": {
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"content": "<filename>",
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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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"6": {
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"content": "<gh_stars>",
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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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"7": {
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"content": "<issue_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": true
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},
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"8": {
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"content": "<issue_comment>",
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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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"9": {
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"content": "<issue_closed>",
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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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"10": {
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"content": "<jupyter_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": true
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},
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"11": {
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"content": "<jupyter_text>",
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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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"12": {
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"content": "<jupyter_code>",
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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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"13": {
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"content": "<jupyter_output>",
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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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"14": {
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"content": "<empty_output>",
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"lstrip": false,
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"normalized": false,
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120 |
+
"rstrip": false,
|
121 |
+
"single_word": false,
|
122 |
+
"special": true
|
123 |
+
},
|
124 |
+
"15": {
|
125 |
+
"content": "<commit_before>",
|
126 |
+
"lstrip": false,
|
127 |
+
"normalized": false,
|
128 |
+
"rstrip": false,
|
129 |
+
"single_word": false,
|
130 |
+
"special": true
|
131 |
+
},
|
132 |
+
"16": {
|
133 |
+
"content": "<commit_msg>",
|
134 |
+
"lstrip": false,
|
135 |
+
"normalized": false,
|
136 |
+
"rstrip": false,
|
137 |
+
"single_word": false,
|
138 |
+
"special": true
|
139 |
+
},
|
140 |
+
"17": {
|
141 |
+
"content": "<commit_after>",
|
142 |
+
"lstrip": false,
|
143 |
+
"normalized": false,
|
144 |
+
"rstrip": false,
|
145 |
+
"single_word": false,
|
146 |
+
"special": true
|
147 |
+
},
|
148 |
+
"18": {
|
149 |
+
"content": "<reponame>",
|
150 |
+
"lstrip": false,
|
151 |
+
"normalized": false,
|
152 |
+
"rstrip": false,
|
153 |
+
"single_word": false,
|
154 |
+
"special": true
|
155 |
+
}
|
156 |
+
},
|
157 |
+
"additional_special_tokens": [
|
158 |
+
"<|endoftext|>",
|
159 |
+
"<fim_prefix>",
|
160 |
+
"<fim_middle>",
|
161 |
+
"<fim_suffix>",
|
162 |
+
"<fim_pad>",
|
163 |
+
"<filename>",
|
164 |
+
"<gh_stars>",
|
165 |
+
"<issue_start>",
|
166 |
+
"<issue_comment>",
|
167 |
+
"<issue_closed>",
|
168 |
+
"<jupyter_start>",
|
169 |
+
"<jupyter_text>",
|
170 |
+
"<jupyter_code>",
|
171 |
+
"<jupyter_output>",
|
172 |
+
"<empty_output>",
|
173 |
+
"<commit_before>",
|
174 |
+
"<commit_msg>",
|
175 |
+
"<commit_after>",
|
176 |
+
"<reponame>"
|
177 |
+
],
|
178 |
+
"bos_token": "<|endoftext|>",
|
179 |
+
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ 'Question:\n' + message['content'] + '\n\n' }}{% elif message['role'] == 'system' %}\n{{ 'System:\n' + message['content'] + '\n\n' }}{% elif message['role'] == 'assistant' %}{{ 'Answer:\n' + message['content'] + '\n\n' }}{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ 'Answer:\n' }}{% endif %}{% endfor %}",
|
180 |
+
"clean_up_tokenization_spaces": true,
|
181 |
+
"eos_token": "<|endoftext|>",
|
182 |
+
"model_max_length": 9223372036854775807,
|
183 |
+
"pad_token": "<|endoftext|>",
|
184 |
+
"padding_side": "left",
|
185 |
+
"tokenizer_class": "GPT2Tokenizer",
|
186 |
+
"unk_token": "<|endoftext|>",
|
187 |
+
"vocab_size": 49152
|
188 |
+
}
|
vocab.json
ADDED
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|