Upload quantized model versions of Photolens/llama-2-7b-langchain-chat
Browse files- .gitattributes +4 -0
- README.md +76 -0
- config.json +26 -0
- llama-2-7b-langchain-chat-Q4_K_M.gguf +3 -0
- llama-2-7b-langchain-chat-Q5_K_M.gguf +3 -0
- llama-2-7b-langchain-chat-Q6_K.gguf +3 -0
- llama-2-7b-langchain-chat-Q8_0.gguf +3 -0
.gitattributes
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llama-2-7b-langchain-chat-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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language:
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- en
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- es
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- ru
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- de
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- pl
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- th
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- vi
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- sv
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- bn
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- da
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- he
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- sk
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- id
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- nb
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- el
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- nl
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- hu
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- eu
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- zh
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- eo
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- ja
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- ca
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- cs
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- fi
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- fr
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- ko
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task_categories:
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- conversational
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license: llama2
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datasets:
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- Photolens/oasst1-langchain-llama-2-formatted
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---
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## Model Overview
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Model license: Llama-2<br>
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This model is trained based on [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousResearch/Llama-2-7b-chat-hf) model that is QLoRA finetuned on [Photolens/oasst1-langchain-llama-2-formatted](https://huggingface.co/datasets/Photolens/oasst1-langchain-llama-2-formatted) dataset.<br>
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## Prompt Template: Llama-2
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```
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<s>[INST] Prompter Message [/INST] Assistant Message </s>
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```
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## Intended Use
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Dataset that is used to finetune base model is optimized for langchain applications.<br>
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So this model is intended for a langchain LLM.
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## Training Details
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This model took `1:14:16` to train in QLoRA on a single `A100 40gb` GPU.<br>
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- *epochs*: `1`
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- *train batch size*: `8`
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- *eval batch size*: `8`
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- *gradient accumulation steps*: `1`
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- *maximum gradient normal*: `0.3`
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- *learning rate*: `2e-4`
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- *weight decay*: `0.001`
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- *optimizer*: `paged_adamw_32bit`
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- *learning rate schedule*: `cosine`
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- *warmup ratio (linear)*: `0.03`
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## Models in this series
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| Model | Train time | Size (in params) | Base Model |
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---|---|---|---
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| [llama-2-7b-langchain-chat](https://huggingface.co/Photolens/llama-2-7b-langchain-chat/) | 1:14:16 | 7 billion | [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousResearch/Llama-2-7b-chat-hf) |
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| [llama-2-13b-langchain-chat](https://huggingface.co/Photolens/llama-2-13b-langchain-chat/) | 2:50:27 | 13 billion | [TheBloke/Llama-2-13B-Chat-fp16](https://huggingface.co/TheBloke/Llama-2-13B-Chat-fp16) |
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| [Photolens/OpenOrcaxOpenChat-2-13b-langchain-chat](https://huggingface.co/Photolens/OpenOrcaxOpenChat-2-13b-langchain-chat/) | 2:56:54 | 13 billion | [Open-Orca/OpenOrcaxOpenChat-Preview2-13B](https://huggingface.co/Open-Orca/OpenOrcaxOpenChat-Preview2-13B) |
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config.json
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{
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"_name_or_path": "NousResearch/Llama-2-7b-chat-hf",
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"architectures": [
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"LlamaForCausalLM"
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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": 11008,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 32,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.31.0",
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"use_cache": true,
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"vocab_size": 32000
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}
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size 4081004224
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