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Model: second-state/Llama-3-8B-Instruct-Gradient-1048k-GGUF Source: Original Platform
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---
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license: other
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license_name: llama3
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model_name: Llama-3-8B-Instruct-Gradient-1048k
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base_model: gradientai/Llama-3-8B-Instruct-Gradient-1048k
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inference: false
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model_creator: gradient.ai
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model_type: llama
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pipeline_tag: text-generation
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quantized_by: Second State Inc.
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language:
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- en
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tags:
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- meta
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- llama-3
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---
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<!-- header start -->
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<!-- 200823 -->
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<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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</div>
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<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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<!-- header end -->
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# Llama-3-8B-Instruct-Gradient-1048k-GGUF
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## Original Model
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[gradientai/Llama-3-8B-Instruct-Gradient-1048k](https://huggingface.co/gradientai/Llama-3-8B-Instruct-Gradient-1048k)
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## Run with LlamaEdge
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- LlamaEdge version: [v0.9.0](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.9.0) and above
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- Prompt template
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- Prompt type: `llama-3-chat`
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- Prompt string
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```text
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<|begin_of_text|><|start_header_id|>system<|end_header_id|>
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{{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|>
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{{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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{{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>
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{{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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```
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- Context size: `1000000`
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- Run as LlamaEdge service
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```bash
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wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3-8B-Instruct-Gradient-1048k-Q5_K_M.gguf \
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llama-api-server.wasm \
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--prompt-template llama-3-chat \
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--ctx-size 1000000 \
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--model-name llama-3-8b-instruct-gradient-1048k
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```
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- Run as LlamaEdge command app
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```bash
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wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3-8B-Instruct-Gradient-1048k-Q5_K_M.gguf \
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llama-chat.wasm \
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--prompt-template llama-3-chat \
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--ctx-size 1000000 \
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```
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## Quantized GGUF Models
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| Name | Quant method | Bits | Size | Use case |
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| ---- | ---- | ---- | ---- | ----- |
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| [Llama-3-8B-Instruct-Gradient-1048k-Q2_K.gguf](https://huggingface.co/second-state/Llama-3-8B-Instruct-Gradient-1048k-GGUF/blob/main/Llama-3-8B-Instruct-Gradient-1048k-Q2_K.gguf) | Q2_K | 2 | 3.18 GB| smallest, significant quality loss - not recommended for most purposes |
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| [Llama-3-8B-Instruct-Gradient-1048k-Q3_K_L.gguf](https://huggingface.co/second-state/Llama-3-8B-Instruct-Gradient-1048k-GGUF/blob/main/Llama-3-8B-Instruct-Gradient-1048k-Q3_K_L.gguf) | Q3_K_L | 3 | 4.32 GB| small, substantial quality loss |
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| [Llama-3-8B-Instruct-Gradient-1048k-Q3_K_M.gguf](https://huggingface.co/second-state/Llama-3-8B-Instruct-Gradient-1048k-GGUF/blob/main/Llama-3-8B-Instruct-Gradient-1048k-Q3_K_M.gguf) | Q3_K_M | 3 | 4.02 GB| very small, high quality loss |
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| [Llama-3-8B-Instruct-Gradient-1048k-Q3_K_S.gguf](https://huggingface.co/second-state/Llama-3-8B-Instruct-Gradient-1048k-GGUF/blob/main/Llama-3-8B-Instruct-Gradient-1048k-Q3_K_S.gguf) | Q3_K_S | 3 | 3.66 GB| very small, high quality loss |
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| [Llama-3-8B-Instruct-Gradient-1048k-Q4_0.gguf](https://huggingface.co/second-state/Llama-3-8B-Instruct-Gradient-1048k-GGUF/blob/main/Llama-3-8B-Instruct-Gradient-1048k-Q4_0.gguf) | Q4_0 | 4 | 4.66 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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| [Llama-3-8B-Instruct-Gradient-1048k-Q4_K_M.gguf](https://huggingface.co/second-state/Llama-3-8B-Instruct-Gradient-1048k-GGUF/blob/main/Llama-3-8B-Instruct-Gradient-1048k-Q4_K_M.gguf) | Q4_K_M | 4 | 4.92 GB| medium, balanced quality - recommended |
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| [Llama-3-8B-Instruct-Gradient-1048k-Q4_K_S.gguf](https://huggingface.co/second-state/Llama-3-8B-Instruct-Gradient-1048k-GGUF/blob/main/Llama-3-8B-Instruct-Gradient-1048k-Q4_K_S.gguf) | Q4_K_S | 4 | 4.69 GB| small, greater quality loss |
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| [Llama-3-8B-Instruct-Gradient-1048k-Q5_0.gguf](https://huggingface.co/second-state/Llama-3-8B-Instruct-Gradient-1048k-GGUF/blob/main/Llama-3-8B-Instruct-Gradient-1048k-Q5_0.gguf) | Q5_0 | 5 | 5.6 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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| [Llama-3-8B-Instruct-Gradient-1048k-Q5_K_M.gguf](https://huggingface.co/second-state/Llama-3-8B-Instruct-Gradient-1048k-GGUF/blob/main/Llama-3-8B-Instruct-Gradient-1048k-Q5_K_M.gguf) | Q5_K_M | 5 | 5.73 GB| large, very low quality loss - recommended |
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| [Llama-3-8B-Instruct-Gradient-1048k-Q5_K_S.gguf](https://huggingface.co/second-state/Llama-3-8B-Instruct-Gradient-1048k-GGUF/blob/main/Llama-3-8B-Instruct-Gradient-1048k-Q5_K_S.gguf) | Q5_K_S | 5 | 5.6 GB| large, low quality loss - recommended |
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| [Llama-3-8B-Instruct-Gradient-1048k-Q6_K.gguf](https://huggingface.co/second-state/Llama-3-8B-Instruct-Gradient-1048k-GGUF/blob/main/Llama-3-8B-Instruct-Gradient-1048k-Q6_K.gguf) | Q6_K | 6 | 6.6 GB| very large, extremely low quality loss |
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| [Llama-3-8B-Instruct-Gradient-1048k-Q8_0.gguf](https://huggingface.co/second-state/Llama-3-8B-Instruct-Gradient-1048k-GGUF/blob/main/Llama-3-8B-Instruct-Gradient-1048k-Q8_0.gguf) | Q8_0 | 8 | 8.54 GB| very large, extremely low quality loss - not recommended |
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| [Llama-3-8B-Instruct-Gradient-1048k-f16.gguf](https://huggingface.co/second-state/Llama-3-8B-Instruct-Gradient-1048k-GGUF/blob/main/Llama-3-8B-Instruct-Gradient-1048k-f16.gguf) | f16 | 16 | 16.1 GB| |
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*Quantized with llama.cpp b2734.*
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config.json
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{
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"_name_or_path": "gradientai/llama3-run1-stage524k-fm-v3",
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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": 128001,
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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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"max_position_embeddings": 1048576,
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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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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 2804339835.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.39.1",
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"use_cache": true,
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"vocab_size": 128256
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}
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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