commit 80d1d43641f2dae2d75a8d5b9a84a23ca67fb0c5 Author: ModelHub XC Date: Fri Aug 21 08:35:12 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: groxaxo/octen-embedding-8b-w4a16 Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..c7d3288 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,53 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bin.* filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zstandard filter=lfs diff=lfs merge=lfs -text +*.tfevents* filter=lfs diff=lfs merge=lfs -text +*.db* filter=lfs diff=lfs merge=lfs -text +*.ark* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text + +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.gguf* filter=lfs diff=lfs merge=lfs -text +*.ggml filter=lfs diff=lfs merge=lfs -text +*.llamafile* filter=lfs diff=lfs merge=lfs -text +*.pt2 filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text + +model-00001-of-00002.safetensors filter=lfs diff=lfs merge=lfs -text + +model-00002-of-00002.safetensors filter=lfs diff=lfs merge=lfs -text + +tokenizer.json filter=lfs diff=lfs merge=lfs -text \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..b19b1d3 --- /dev/null +++ b/README.md @@ -0,0 +1,81 @@ +--- +license: apache-2.0 +base_model: Octen/Octen-Embedding-8B +library_name: transformers +tags: + - embeddings + - quantized + - w4a16 + - auto-round + - auto-gptq +--- + +# Octen-Embedding-8B W4A16 + +This repo contains a W4A16 quantized version of `Octen/Octen-Embedding-8B` in the validated `auto-round-auto-gptq` format. + +## Quantization + +| Item | Value | +|---|---| +| Base model | `Octen/Octen-Embedding-8B` | +| Quantization | W4A16, 4-bit weights / 16-bit activations | +| Tooling | AutoRound 0.12.2, transformers 5.6.2, torch 2.6.0+cu124 | +| Calibration | 8 samples, seqlen 512, 200 iterations, float32 tuning | +| Quantized size | 8.1 GB, 2 shards | +| Base size | 15.0 GB | +| Compression | ~1.9x | +| Embedding dim | 4096 | +| Layers quantized | 252/253; `lm_head` skipped | + +## Validation vs base model + +Evaluation used a small retrieval set of 5 query-document pairs, last-token pooling, L2 normalization, and cosine similarity. + +| Metric | Base | W4A16 | Delta | +|---|---:|---:|---:| +| Recall@1 | 0.8 | 1.0 | +0.2 | +| Recall@5 | 1.0 | 1.0 | 0.0 | +| Mean query cosine, base vs quant | — | 0.9840 | — | +| Mean doc cosine, base vs quant | — | 0.9820 | — | + +Assessment: this model passed all validation gates cleanly, with >0.98 mean cosine to the base model and no retrieval degradation on the validation set. + +See `validation-8b-auto-round-auto-gptq.json` for the raw metrics. + +## RTX 3060 smoke test + +This quantized model was loaded and run on an RTX 3060 12GB GPU. + +| Result | Value | +|---|---:| +| VRAM after load | 4.53 GB | +| Single short-query forward pass | 0.9s smoke test; later benchmark ~612ms | +| Output shape | `[1, 4, 4096]` | +| Embeddings | Valid normalized vectors; no NaNs observed | + +## Recommended usage + +```python +import torch +from transformers import AutoModel, AutoTokenizer + +model_id = "groxaxo/octen-embedding-8b-w4a16" +tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True) +model = AutoModel.from_pretrained( + model_id, + trust_remote_code=True, + torch_dtype=torch.float16, +).cuda().eval() + +texts = ["how to implement binary search"] +tokens = tokenizer(texts, padding=True, truncation=True, max_length=512, return_tensors="pt") +tokens = {k: v.cuda() for k, v in tokens.items()} + +with torch.no_grad(): + out = model(**tokens) + +emb = torch.nn.functional.normalize(out.last_hidden_state[:, -1, :], p=2, dim=-1) +``` + +Note: the model card records local validation and smoke-test results. For production use, evaluate on your own retrieval distribution. diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..28028c0 --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,54 @@ +{%- if tools %} + {{- '<|im_start|>system\n' }} + {%- if messages[0]['role'] == 'system' %} + {{- messages[0]['content'] }} + {%- else %} + {{- 'You are a helpful assistant.' }} + {%- endif %} + {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n" }} + {%- for tool in tools %} + {{- "\n" }} + {{- tool | tojson }} + {%- endfor %} + {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|im_end|>\n" }} +{%- else %} + {%- if messages[0]['role'] == 'system' %} + {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }} + {%- else %} + {{- '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }} + {%- endif %} +{%- endif %} +{%- for message in messages %} + {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %} + {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }} + {%- elif message.role == "assistant" %} + {{- '<|im_start|>' + message.role }} + {%- if message.content %} + {{- '\n' + message.content }} + {%- endif %} + {%- for tool_call in message.tool_calls %} + {%- if tool_call.function is defined %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {{- '\n\n{"name": "' }} + {{- tool_call.name }} + {{- '", "arguments": ' }} + {{- tool_call.arguments | tojson }} + {{- '}\n' }} + {%- endfor %} + {{- '<|im_end|>\n' }} + {%- elif message.role == "tool" %} + {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %} + {{- '<|im_start|>user' }} + {%- endif %} + {{- '\n\n' }} + {{- message.content }} + {{- '\n' }} + {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %} + {{- '<|im_end|>\n' }} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|im_start|>assistant\n' }} +{%- endif %} diff --git a/config.json b/config.json new file mode 100644 index 0000000..c214242 --- /dev/null +++ b/config.json @@ -0,0 +1,86 @@ +{ + "architectures": [ + "Qwen3ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "float32", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 4096, + "initializer_range": 0.02, + "intermediate_size": 12288, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 40960, + "max_window_layers": 36, + "model_type": "qwen3", + "num_attention_heads": 32, + "num_hidden_layers": 36, + "num_key_value_heads": 8, + "pad_token_id": null, + "quantization_config": { + "amp": false, + "autoround_version": "0.12.2", + "batch_size": 1, + "bits": 4, + "data_type": "int", + "gradient_accumulate_steps": 8, + "group_size": 128, + "low_gpu_mem_usage": true, + "nsamples": 8, + "packing_format": "auto_round:auto_gptq", + "quant_method": "auto-round", + "seqlen": 512, + "sym": true + }, + "rms_norm_eps": 1e-06, + 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