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Model: Zynerji/Ektome-Qwen2-1.5Bi-PristinelyUncensored Source: Original Platform
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36
.gitattributes
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README.md
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README.md
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---
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license: apache-2.0
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base_model: Qwen/Qwen2-1.5B-Instruct
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- ektome
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- abliterated
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- uncensored
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- pristinely-uncensored
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- no-finetuning
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- no-training
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---
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# Ektome-Qwen2-1.5Bi-PristinelyUncensored
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**Qwen/Qwen2-1.5B-Instruct, made PristinelyUncensored by Ektome — with ZERO training and ZERO fine-tuning.**
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> Ektome (ἐκτομή, *"excision"*) is a **weight-surgery** method, not a training method.
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> It reads the model's own **refusal direction** from its activations and surgically
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> excises it (rank-1, norm-preserving) from the residual-write matrices. **No gradient
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> steps. No training data. No fine-tuning.** Only the refusal reflex is removed; the
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> model's knowledge, skills, and style are untouched — which makes these **bf16 weights
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> a clean base for your own fine-tuning.**
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## Honest receipt — catcher-gated (shipped only because it passed EVERY gate)
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| gate | pristine | uncensored |
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|---|---|---|
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| refusal compliance | 0.010 | **0.990** |
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| MMLU-val accuracy | 0.540 | 0.535 (Δ -0.005, held) |
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| code-switch rate | 0.067 | 0.000 |
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| degeneration rate | 0.000 | 0.000 |
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| instruction-following | 1.000 | 1.000 |
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Kept config: **A:frac=0.8** (56 residual-write matrices edited). The gate rejects any
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config that raises refusals but drops capability **or** degrades generation
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(code-switching, empty/looping output, broken instruction-following). MMLU alone is
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argmax-blind, so the **generative gate** is what keeps these coherent — a model that
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code-switches or loops is *not shipped*.
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## Weights
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- **bf16 safetensors** — full precision, intended as a **fine-tuning base**. Hidden
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states stay readable (logit-lens compatible; a GGUF quant would not).
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Method: **zero training, zero fine-tuning** — pure activation-derived weight excision,
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gated on compliance **and** capability **and** generation quality.
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chat_template.jinja
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chat_template.jinja
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{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system
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You are a helpful assistant.<|im_end|>
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' }}{% endif %}{{'<|im_start|>' + message['role'] + '
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' + message['content'] + '<|im_end|>' + '
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'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
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' }}{% endif %}
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61
config.json
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config.json
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{
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"dtype": "bfloat16",
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"eos_token_id": 151645,
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"hidden_act": "silu",
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"hidden_size": 1536,
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"initializer_range": 0.02,
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"intermediate_size": 8960,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings": 32768,
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"max_window_layers": 28,
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"model_type": "qwen2",
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"num_attention_heads": 12,
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"num_hidden_layers": 28,
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"num_key_value_heads": 2,
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"pad_token_id": null,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 1000000.0,
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"rope_type": "default"
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},
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"sliding_window": null,
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"tie_word_embeddings": true,
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"transformers_version": "5.13.1",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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ektome_report.json
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ektome_report.json
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{
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"status": "SHIP",
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"winner": "A:frac=0.8",
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"target": 0.99,
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"SE_mmlu": 0.024919871588754226,
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"base_compliance": 0.01,
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"compliance": 0.99,
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"base_cap": 0.54,
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"cap": 0.535,
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"dcap": -0.005,
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"gen_base": {
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"foreign_rate": 0.0667,
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"degen_rate": 0.0,
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"instr_pass": 1.0
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},
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"gen": {
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"foreign_rate": 0.0,
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"degen_rate": 0.0,
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"instr_pass": 1.0
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},
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"gen_delta": {
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"d_foreign": -0.0667,
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"d_degen": 0.0,
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"d_instr": 0.0,
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"holds_gen": true
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},
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"matrices": 56,
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"trail": [
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{
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"name": "pristine",
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"compliance": 0.01,
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"cap": 0.54,
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"dcap": 0.0,
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"cap_holds": true,
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"gen_holds": true,
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"holds": true,
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"cleared": false
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},
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{
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"name": "A:frac=0.5",
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"compliance": 0.83,
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"cap": 0.5125,
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"dcap": -0.0275,
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"cap_holds": false,
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"gen_holds": true,
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"holds": false,
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"cleared": false
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},
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{
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"name": "A:frac=0.65",
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"compliance": 0.96,
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"cap": 0.54,
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"dcap": 0.0,
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"gen_holds": true,
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"cleared": false
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},
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{
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"name": "A:frac=0.8",
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"compliance": 0.99,
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"cap": 0.535,
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"dcap": -0.005,
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"cap_holds": true,
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"gen_holds": true,
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"holds": true,
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"cleared": true
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}
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],
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"base_model": "Qwen/Qwen2-1.5B-Instruct"
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}
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14
generation_config.json
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generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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"pad_token_id": 151643,
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"repetition_penalty": 1.1,
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"temperature": 0.7,
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"top_k": 20,
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"top_p": 0.8,
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"transformers_version": "5.13.1"
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}
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3
model.safetensors
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:38187085c7247069e0eef9da3f99ee3cffc920512db29e75d8e07d1d358653b6
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size 3087467144
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3
tokenizer.json
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:48f722bc04c884e2fe1525fdcd85a1293a8499b6e620c1ac7c083c49632305fb
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size 11418262
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tokenizer_config.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"backend": "tokenizers",
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"bos_token": null,
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"extra_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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],
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"is_local": false,
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"local_files_only": false,
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"model_max_length": 32768,
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"pad_token": "<|endoftext|>",
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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}
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