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Model: artificialguybr/Meta-Llama-3.1-8B-openhermes-2.5 Source: Original Platform
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README.md
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---
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tags:
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- llama
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- instruct
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- finetune
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- chatml
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- gpt4
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- synthetic data
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- distillation
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model-index:
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- name: Meta-Llama-3.1-8B-openhermes-2.5
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results: []
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license: apache-2.0
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language:
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- en
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library_name: transformers
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datasets:
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- teknium/OpenHermes-2.5
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---
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# Model Card for Meta-Llama-3.1-8B-openhermes-2.5
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This model is a fine-tuned version of Meta-Llama-3.1-8B on the OpenHermes-2.5 dataset.
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## Model Details
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### Model Description
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This is a fine-tuned version of the Meta-Llama-3.1-8B model, trained on the OpenHermes-2.5 dataset. It is designed for instruction following and general language tasks.
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- **Developed by:** artificialguybr
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- **Model type:** Causal Language Model
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- **Language(s):** English
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- **License:** apache-2.0
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- **Finetuned from model:** meta-llama/Meta-Llama-3.1-8B
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---
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### 🌐 Website
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You can find more of my models, projects, and information on my official website:
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- **[artificialguy.com](https://artificialguy.com/)**
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### 🚀 Prompt Hub
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Need high-quality prompts for image models and LLMs? Explore **[findgoodprompt.com](https://findgoodprompt.com)**.
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### 💖 Support My Work
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If you find this model useful, please consider supporting my work. It helps me cover server costs and dedicate more time to new open-source projects.
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- **Patreon:** [Support on Patreon](https://www.patreon.com/user?u=81570187)
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- **Ko-fi:** [Buy me a Ko-fi](https://ko-fi.com/artificialguybr)
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||||
- **Buy Me a Coffee:** [Buy me a Coffee](https://buymeacoffee.com/jvkape)
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### Model Sources
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- **Repository:** https://huggingface.co/artificialguybr/Meta-Llama-3.1-8B-openhermes-2.5
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## Uses
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This model can be used for various natural language processing tasks, particularly those involving instruction following and general language understanding.
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### Direct Use
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The model can be used for tasks such as text generation, question answering, and other language-related applications.
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### Out-of-Scope Use
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The model should not be used for generating harmful or biased content. Users should be aware of potential biases in the training data.
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## Training Details
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### Training Data
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The model was fine-tuned on the teknium/OpenHermes-2.5 dataset.
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### Training Procedure
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#### Training Hyperparameters
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- **Training regime:** BF16 mixed precision
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- **Optimizer:** AdamW
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- **Learning rate:** Started at 0.00000249316296439037 (decaying)
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- **Batch size:** Not specified (gradient accumulation steps: 8)
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- **Training steps:** 13,368
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- **Evaluation strategy:** Steps (every 0.16666666666666666 steps)
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- **Gradient checkpointing:** Enabled
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- **Weight decay:** 0
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#### Hardware and Software
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- **Hardware:** NVIDIA A100-SXM4-80GB (1 GPU)
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- **Software Framework:** 🤗 Transformers, Axolotl
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## Evaluation
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### Metrics
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- **Loss:** 0.6727465987205505 (evaluation)
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- **Perplexity:** Not provided
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### Results
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- **Evaluation runtime:** 2,676.4173 seconds
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- **Samples per second:** 18.711
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- **Steps per second:** 18.711
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## Model Architecture
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- **Model Type:** LlamaForCausalLM
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- **Hidden size:** 4,096
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- **Intermediate size:** 14,336
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- **Number of attention heads:** Not specified
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- **Number of layers:** Not specified
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- **Activation function:** SiLU
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- **Vocabulary size:** 128,256
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## Limitations and Biases
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More information is needed about specific limitations and biases of this model.
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config.json
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|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.norm.weight": "model-00004-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
3
optimizer.pt
Normal file
3
optimizer.pt
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:7259833a50c6777526429c2f11ae9776b9ff32a6b87eb9660cd9b05d243eb5ce
|
||||
size 16092247096
|
||||
3
rng_state.pth
Normal file
3
rng_state.pth
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:c062f7f375beded48b5337f5a3f3a5cb38807fa3e85dbf3e294c0ab6b627bfc2
|
||||
size 14244
|
||||
3
scheduler.pt
Normal file
3
scheduler.pt
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:41d4e687c6c2ef9b67b1dbafcd9f58c4d4918069877fcd2f1eb10c5c08c1d157
|
||||
size 1064
|
||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
410563
tokenizer.json
Normal file
410563
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
2062
tokenizer_config.json
Normal file
2062
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
80915
trainer_state.json
Normal file
80915
trainer_state.json
Normal file
File diff suppressed because it is too large
Load Diff
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:2a7ec392481de30b71744e65057465f177619a92ac7839f147b7203c3a98296f
|
||||
size 6136
|
||||
Reference in New Issue
Block a user