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Model: second-state/llm-compiler-7b-ftd-GGUF Source: Original Platform
2026-06-18 08:09:14 +08:00
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--- a/README.md
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+---
+language:
+- code
+license: other
+model_name: llm-compiler-7b
+base_model: facebook/llm-compiler-7b-ftd
+inference: false
+model_creator: facebook
+quantized_by: Second State Inc.
+---
+
+<!-- header start -->
+<!-- 200823 -->
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
+<!-- header end -->
+
+
+# llm-compiler-7b-ftd-GGUF
+
+## Original Model
+
+[facebook/llm-compiler-7b-ftd](https://huggingface.co/facebook/llm-compiler-7b-ftd)
+
+**License** A custom commercial license is available at: [https://ai.meta.com/resources/models-and-libraries/llama-downloads/](https://ai.meta.com/resources/models-and-libraries/llama-downloads/)
+
+## Run with LlamaEdge
+
+<!-- - LlamaEdge version: [v0.2.8](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.2.8) and above -->
+
+- LlamaEdge version: coming soon
+
+<!-- - Prompt template
+
+  - Prompt type: `codellama-instruct`
+
+  - Prompt string
+
+    ```text
+    [INST] {system_message}
+
+    <code>
+    {user_message}
+    </code>[/INST]
+    ```
+
+    **Note** that the `system_message` should be `Tell me how to optimize this LLVM-IR for object file size:` or `Disassemble this code to LLVM-IR:`.
+
+- Context size: `4096`
+
+- Run as LlamaEdge command app
+
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:llm-compiler-7b-ftd-Q5_K_M.gguf llama-chat.wasm -p codellama-instruct
+  ``` -->
+
+
+## Quantized GGUF Models
+
+| Name | Quant method | Bits | Size | Use case |
+| ---- | ---- | ---- | ---- | ----- |
+| [llm-compiler-7b-ftd-Q2_K.gguf](https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF/blob/main/llm-compiler-7b-ftd-Q2_K.gguf)     | Q2_K   | 2 | 2.53 GB| smallest, significant quality loss - not recommended for most purposes |
+| [llm-compiler-7b-ftd-Q3_K_L.gguf](https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF/blob/main/llm-compiler-7b-ftd-Q3_K_L.gguf) | Q3_K_L | 3 | 3.6 GB| small, substantial quality loss |
+| [llm-compiler-7b-ftd-Q3_K_M.gguf](https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF/blob/main/llm-compiler-7b-ftd-Q3_K_M.gguf) | Q3_K_M | 3 | 3.3 GB| very small, high quality loss |
+| [llm-compiler-7b-ftd-Q3_K_S.gguf](https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF/blob/main/llm-compiler-7b-ftd-Q3_K_S.gguf) | Q3_K_S | 3 | 2.95 GB| very small, high quality loss |
+| [llm-compiler-7b-ftd-Q4_0.gguf](https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF/blob/main/llm-compiler-7b-ftd-Q4_0.gguf)     | Q4_0   | 4 | 3.83 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [llm-compiler-7b-ftd-Q4_K_M.gguf](https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF/blob/main/llm-compiler-7b-ftd-Q4_K_M.gguf) | Q4_K_M | 4 | 4.08 GB| medium, balanced quality - recommended |
+| [llm-compiler-7b-ftd-Q4_K_S.gguf](https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF/blob/main/llm-compiler-7b-ftd-Q4_K_S.gguf) | Q4_K_S | 4 | 3.86 GB| small, greater quality loss |
+| [llm-compiler-7b-ftd-Q5_0.gguf](https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF/blob/main/llm-compiler-7b-ftd-Q5_0.gguf)     | Q5_0   | 5 | 4.65 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
+| [llm-compiler-7b-ftd-Q5_K_M.gguf](https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF/blob/main/llm-compiler-7b-ftd-Q5_K_M.gguf) | Q5_K_M | 5 | 4.78 GB| large, very low quality loss - recommended |
+| [llm-compiler-7b-ftd-Q5_K_S.gguf](https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF/blob/main/llm-compiler-7b-ftd-Q5_K_S.gguf) | Q5_K_S | 5 | 4.65 GB| large, low quality loss - recommended |
+| [llm-compiler-7b-ftd-Q6_K.gguf](https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF/blob/main/llm-compiler-7b-ftd-Q6_K.gguf)     | Q6_K   | 6 | 5.53 GB| very large, extremely low quality loss |
+| [llm-compiler-7b-ftd-Q8_0.gguf](https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF/blob/main/llm-compiler-7b-ftd-Q8_0.gguf)     | Q8_0   | 8 | 7.16 GB| very large, extremely low quality loss - not recommended |
+| [llm-compiler-7b-ftd-f16.gguf](https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF/blob/main/llm-compiler-7b-ftd-f16.gguf)     | f16    | f16 | 13.5 GB| |
+
+*Quantized with llama.cpp b3259*
--- a/config.json
+++ b/config.json
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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 16384,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.37.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}
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				`{"framework": "pytorch", "task": "text-generation", "allow_remote": true}`