初始化项目，由ModelHub XC社区提供模型
Model: AtlaAI/Selene-1-Mini-Llama-3.1-8B-GPTQ-W4A16 Source: Original Platform
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79
README.md
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README.md
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---
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base_model: AtlaAI/Selene-1-Mini-Llama-3.1-8B
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library_name: transformers
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language:
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- en
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- de
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- fr
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- it
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- pt
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- es
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pipeline_tag: text-generation
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tags:
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- llama
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- atla
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- evaluation
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- llm-as-a-judge
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- meta
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- conversational
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- lm-judge
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- llama-cpp
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- gptq
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license: llama3.1
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---
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<p align="center">
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<picture>
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<source
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srcset="https://atla-ai.notion.site/image/https%3A%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2Ff08e6e70-73af-4363-9621-90e906b92ebc%2F1bfb4316-1ce6-40a0-800c-253739cfcdeb%2Fatla_white3x.svg?table=block&id=17c309d1-7745-80f9-8f60-e755409acd8d&spaceId=f08e6e70-73af-4363-9621-90e906b92ebc&userId=&cache=v2"
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media="(prefers-color-scheme: dark)"
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width="200"
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/>
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<source
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srcset="https://atla-ai.notion.site/image/attachment%3A230448e8-921f-45df-b2af-a3158b6c04cd%3Aatla_black2x.png?table=block&id=188309d1-7745-805c-87e4-c39ca54d598d&spaceId=f08e6e70-73af-4363-9621-90e906b92ebc&width=2000&userId=&cache=v2"
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media="(prefers-color-scheme: light)"
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width="200"
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/>
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<img
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src="https://atla-ai.notion.site/image/attachment%3A230448e8-921f-45df-b2af-a3158b6c04cd%3Aatla_black2x.png?table=block&id=188309d1-7745-805c-87e4-c39ca54d598d&spaceId=f08e6e70-73af-4363-9621-90e906b92ebc&width=2000&userId=&cache=v2"
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width="200"
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/>
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</picture>
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</p>
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<p align="center">
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🛝 <a href="https://hf.co/spaces/AtlaAI/selene">Playground</a> |
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📄 <a href="https://huggingface.co/spaces/AtlaAI/selene-1-mini-tech-report">Technical report</a> |
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💻 <a href="https://github.com/atla-ai/selene-mini">GitHub</a> |
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👀 <a href="https://www.atla-ai.com/" style="background-image: linear-gradient(to right, red, orange, yellow, green, blue, indigo, violet); -webkit-background-clip: text; color: transparent; animation: rainbow 5s ease infinite; text-decoration: underline; text-decoration-color: currentColor;">Atla agent evals</a>
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</p>
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<style>
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@keyframes rainbow {
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0% { background-position: 0% 50%; }
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50% { background-position: 100% 50%; }
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100% { background-position: 0% 50%; }
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}
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</style>
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<style>
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@keyframes rainbow {
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0% { background-position: 0% 50%; }
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50% { background-position: 100% 50%; }
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100% { background-position: 0% 50%; }
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}
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</style>
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# AtlaAI/Selene-1-Mini-Llama-3.1-8B-GPTQ-W4A16
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This model was quantised into a **4-bit** (W4A16) format using GPTQ from [`AtlaAI/Selene-1-Mini-Llama-3.1-8B`](https://huggingface.co/AtlaAI/Selene-1-Mini-Llama-3.1-8B).
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This was done using vLLM's llm-compressor library (https://docs.vllm.ai/en/latest/features/quantization/int4.html)
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Refer to the [original model card](https://huggingface.co/AtlaAI/Selene-1-Mini-Llama-3.1-8B) for more details on the model.
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This quantisation was calibrated using a sample of 512 datapoints from the data used to train Selene-1-Mini.
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As a result, our quantised models show minimal performance degradation, losing <0.5% overall across benchmarks!
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For reference, a GPTQ quantized 8-bit [Llama-3.1-8B](neuralmagic/Meta-Llama-3.1-8B-quantized.w8a8) shows ~1.5% degradation across benchmarks.
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306
config.json
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{
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"_name_or_path": "AtlaAI/Selene-1-Mini-Llama-3.1-8B",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": [
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128001,
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128008,
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128009
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],
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"head_dim": 128,
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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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"mlp_bias": false,
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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": 8,
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"pretraining_tp": 1,
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"quantization_status": "compressed",
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"sparsity_config": {
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"model.layers.8.self_attn.o_proj.weight_scale": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight_shape": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight_packed": "model-00001-of-00002.safetensors",
|
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"model.layers.8.self_attn.q_proj.weight_scale": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight_shape": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight_packed": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight_scale": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight_shape": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight_packed": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight_scale": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight_shape": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight_packed": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight_scale": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight_shape": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight_packed": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight_scale": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight_shape": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight_packed": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight_scale": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight_shape": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight_packed": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight_scale": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight_shape": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight_packed": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight_scale": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight_shape": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight_packed": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight_scale": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight_shape": "model-00001-of-00002.safetensors",
|
||||
"model.norm.weight": "model-00001-of-00002.safetensors"
|
||||
}
|
||||
}
|
||||
7
recipe.yaml
Normal file
7
recipe.yaml
Normal file
@@ -0,0 +1,7 @@
|
||||
DEFAULT_stage:
|
||||
DEFAULT_modifiers:
|
||||
GPTQModifier:
|
||||
sequential_update: true
|
||||
scheme: W4A16
|
||||
targets: Linear
|
||||
ignore: [lm_head]
|
||||
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": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
2063
tokenizer_config.json
Normal file
2063
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user