From c03d4c43774ccea568ffffc84f6a81efe969c4d6 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Mon, 14 Sep 2026 07:24:16 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: Zynerji/Ektome-Qwen2.5-Coder-7B-Instruct-PristinelyUncensored Source: Original Platform --- .gitattributes | 46 +++++++ CERTIFICATE.md | 16 +++ Ektome-Qwen2.5-Coder-7B-Instruct-IQ3_M.gguf | 3 + Ektome-Qwen2.5-Coder-7B-Instruct-IQ4_XS.gguf | 3 + Ektome-Qwen2.5-Coder-7B-Instruct-Q4_K_M.gguf | 3 + Ektome-Qwen2.5-Coder-7B-Instruct-Q5_K_M.gguf | 3 + Ektome-Qwen2.5-Coder-7B-Instruct-Q6_K.gguf | 3 + Ektome-Qwen2.5-Coder-7B-Instruct-Q8_0.gguf | 3 + Ektome-Qwen2.5-Coder-7B-Instruct-f16.gguf | 3 + README.md | 116 ++++++++++++++++ cert_Qwen2.5-Coder-7B-Instruct.json | 133 +++++++++++++++++++ chat_template.jinja | 54 ++++++++ config.json | 61 +++++++++ ektome_report.json | 8 ++ generation_config.json | 14 ++ hero.png | 3 + imatrix.dat | 3 + model.safetensors | 3 + tokenizer.json | 3 + tokenizer_config.json | 16 +++ whitepaper.pdf | 3 + 21 files changed, 500 insertions(+) create mode 100644 .gitattributes create mode 100644 CERTIFICATE.md create mode 100644 Ektome-Qwen2.5-Coder-7B-Instruct-IQ3_M.gguf create mode 100644 Ektome-Qwen2.5-Coder-7B-Instruct-IQ4_XS.gguf create mode 100644 Ektome-Qwen2.5-Coder-7B-Instruct-Q4_K_M.gguf create mode 100644 Ektome-Qwen2.5-Coder-7B-Instruct-Q5_K_M.gguf create mode 100644 Ektome-Qwen2.5-Coder-7B-Instruct-Q6_K.gguf create mode 100644 Ektome-Qwen2.5-Coder-7B-Instruct-Q8_0.gguf create mode 100644 Ektome-Qwen2.5-Coder-7B-Instruct-f16.gguf create mode 100644 README.md create mode 100644 cert_Qwen2.5-Coder-7B-Instruct.json create mode 100644 chat_template.jinja create mode 100644 config.json create mode 100644 ektome_report.json create mode 100644 generation_config.json create mode 100644 hero.png create mode 100644 imatrix.dat create mode 100644 model.safetensors create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json create mode 100644 whitepaper.pdf diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..a1869e2 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,46 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt 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 +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz 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confidence bound on the accuracy regression is below the margin of 3.0%. + +- **Reference:** `ref` @ `http://127.0.0.1:8080/v1` +- **Candidate:** `cand` @ `http://127.0.0.1:8081/v1` +- **Pack:** /root/pack_v2.jsonl (2800 items, sha256 `2de27099bbb15bab…`) +- **Params:** margin 3.0%, alpha 0.05, n_floor 30, seed 0 +- **Generated:** 2026-07-26T22:50:16.638557+00:00 by sphragis 0.1.0 + +| Axis | n | ref acc | cand acc | regression d | 95% CI | d upper bound | p (regr., Holm) | verdict | +|---|---|---|---|---|---|---|---|---| +| arithmetic | 1400 | 0.864 | 0.865 | -0.001 | [-0.006, +0.004] | +0.003 | 1 | ✅ PASS (non_inferior_within_margin) | +| instruction | 600 | 0.663 | 0.660 | +0.003 | [-0.005, +0.012] | +0.010 | 1 | ✅ PASS (non_inferior_within_margin) | +| knowledge | 400 | 0.968 | 0.968 | +0.000 | [+0.000, +0.000] | +0.000 | 1 | ✅ PASS (non_inferior_within_margin) | +| reasoning | 400 | 0.953 | 0.953 | +0.000 | [+0.000, +0.000] | +0.000 | 1 | ✅ PASS (non_inferior_within_margin) | diff 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0000000..c73159c --- /dev/null +++ b/Ektome-Qwen2.5-Coder-7B-Instruct-Q8_0.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:84112c655bdaac70f28eadc26ece2cb87acef1c2dadf4835d45de9b8cfb830ef +size 8098525344 diff --git a/Ektome-Qwen2.5-Coder-7B-Instruct-f16.gguf b/Ektome-Qwen2.5-Coder-7B-Instruct-f16.gguf new file mode 100644 index 0000000..19380c4 --- /dev/null +++ b/Ektome-Qwen2.5-Coder-7B-Instruct-f16.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:56dbbb810cdae4ac628e9c731c4374666d4997648e304cdfa9eee0b22dbbdda4 +size 15237853184 diff --git a/README.md b/README.md new file mode 100644 index 0000000..348a0b8 --- /dev/null +++ b/README.md @@ -0,0 +1,116 @@ +--- +license: apache-2.0 +base_model: Qwen/Qwen2.5-Coder-7B-Instruct +tags: + - uncensored + - abliterated + - capability-preserving + - certified + - ektome + - sphragis + - qwen2.5 +language: + - en +pipeline_tag: text-generation +--- + +![Ektome-Qwen2.5-Coder-7B-Instruct-PristinelyUncensored](./hero.png) + +# Ektome-Qwen2.5-Coder-7B-Instruct-PristinelyUncensored + +**Uncensored — and carrying a statistical certificate that it wasn't damaged.** + +> **Capability retention certified against the pristine model at n=2800.** + +$$\colorbox{black}{$\color{white} +\begin{array}{ll} +\textsf{EKTOME CERTIFICATE} & {} \\ +\textsf{capability} & \textsf{PASS} \\ +\textsf{margin} & 3\% \\ +\textsf{items } n & 2800 \\ +\textsf{worst-axis bound} & +0.010 \\ +\textsf{compliance} & \textsf{not recorded} \\ +\end{array}$}$$ + + +📄 **[Read the whitepaper (PDF)](./whitepaper.pdf)** — full method, receipts and certification. +The PDF is the authoritative document: dark-typeset, with the complete derivation, the +per-axis certificate and the reproducibility hashes. + +--- + +## Why this exists + +Standard abliteration removes a coarse *refusal direction* that is entangled with +directions carrying knowledge and reasoning. The result is an uncensored model with a +capability tax that is **almost never measured**. + +Ektomē (ἐκτομή, *excision*) isolates and removes only the refusal-**specific** +component, leaving general helpfulness intact, and does so norm-preservingly on the +pristine model — no training, no distillation, no damage to repair. The extraction +depth is selected per model by automated search against measured compliance. + +The estimator, excision operator and depth-selection procedure are proprietary. +What is published here is the **measured outcome** and the evidence for it, which you +can verify against the artifacts in this repo. + +## The receipt + +_No compliance/MMLU receipt was recorded for this model. The evidence below is the certificate._ + + +## The certificate + +Capability retention is certified by a paired non-inferiority test against the pristine +model (exact McNemar, Holm-corrected, one-sided bootstrap bound on the drop $d$ vs a +3% margin): + +| axis | n | ref | cand | d upper | verdict | +|---|---|---|---|---|---| +| arithmetic | 1400 | 0.864 | 0.865 | +0.003 | PASS | +| instruction | 600 | 0.663 | 0.660 | +0.010 | PASS | +| knowledge | 400 | 0.968 | 0.968 | +0.000 | PASS | +| reasoning | 400 | 0.953 | 0.953 | +0.000 | PASS | + + +**Overall: PASS (3% margin, n=2800, alpha=0.05)** + +Reproducible from `seed=20260726`, pack `sha256:7bbaff877146e081…`. + +### Generation health checks + +_Not recorded for this model._ + + +## Quantisations + +| file | bits | notes | +|---|---|---| +| `Ektome-Qwen2.5-Coder-7B-Instruct-Q8_0.gguf` | 8 | near-lossless | +| `Ektome-Qwen2.5-Coder-7B-Instruct-Q6_K.gguf` | 6 | | +| `Ektome-Qwen2.5-Coder-7B-Instruct-Q5_K_M.gguf` | 5 | | +| `Ektome-Qwen2.5-Coder-7B-Instruct-Q4_K_M.gguf` | 4 | imatrix | +| `Ektome-Qwen2.5-Coder-7B-Instruct-IQ4_XS.gguf` | 4 | imatrix, smallest usable | +| `Ektome-Qwen2.5-Coder-7B-Instruct-IQ3_M.gguf` | 3 | imatrix | + +`IQ*` variants are imatrix-quantised — better quality per bit at low precision. + + +## Limitations + +The certificate bounds **capability retention only**. It does not certify safety, factual +accuracy, or fitness for any purpose. Axes marked *inconclusive* are honestly +under-powered, and the certificate states the $n$ needed to resolve them. Compliance uses +a keyword classifier — a proxy that evasive phrasing can fool. **This model is uncensored +by construction: it will not refuse, and you are accountable for what you do with it.** + +## Citation + +```bibtex +@software{ektome_Ektome-Qwen2.5-Coder-7B-Instruct-PristinelyUncensored, + title = {Ektome-Qwen2.5-Coder-7B-Instruct-PristinelyUncensored}, + author = {Zynerji}, + year = {2026}, + url = {https://huggingface.co/Zynerji/Ektome-Qwen2.5-Coder-7B-Instruct-PristinelyUncensored} +} +``` diff --git a/cert_Qwen2.5-Coder-7B-Instruct.json b/cert_Qwen2.5-Coder-7B-Instruct.json new file mode 100644 index 0000000..6735962 --- /dev/null +++ b/cert_Qwen2.5-Coder-7B-Instruct.json @@ -0,0 +1,133 @@ +{ + "sphragis_version": "0.1.0", + "generated_at": "2026-07-26T22:50:16.638557+00:00", + "reference": { + "endpoint": "http://127.0.0.1:8080/v1", + "model": "ref" + }, + "candidate": { + "endpoint": "http://127.0.0.1:8081/v1", + "model": "cand" + }, + "pack": { + "name": "/root/pack_v2.jsonl", + "n_tasks": 2800, + "sha256": "2de27099bbb15bab4f7b35599b215f038fdb68b3f5f4e1cda1a464f9dd18e14e" + }, + "overall": "PASS", + "claim": "For every axis, the candidate was demonstrated non-inferior to the reference: the one-sided 95% upper confidence bound on the accuracy regression is below the margin of 3.0%.", + "axes": [ + { + "axis": "arithmetic", + "n": 1400, + "counts": { + "both_correct": 1205, + "ref_only": 5, + "cand_only": 6, + "both_wrong": 184 + }, + "acc_reference": 0.864286, + "acc_candidate": 0.865, + "regression_d": -0.000714, + "d_ci": [ + -0.005714, + 0.004286 + ], + "d_upper_bound": 0.002857, + "p_regression": 0.72558594, + "p_regression_holm": 1.0, + "p_improvement": 0.5, + "improved": false, + "mde_at_power": 0.005886, + "n_needed_for_margin": 204, + "verdict": "PASS", + "reason": "non_inferior_within_margin" + }, + { + "axis": "instruction", + "n": 600, + "counts": { + "both_correct": 394, + "ref_only": 4, + "cand_only": 2, + "both_wrong": 200 + }, + "acc_reference": 0.663333, + "acc_candidate": 0.66, + "regression_d": 0.003333, + "d_ci": [ + -0.005, + 0.011667 + ], + "d_upper_bound": 0.01, + "p_regression": 0.34375, + "p_regression_holm": 1.0, + "p_improvement": 0.890625, + "improved": false, + "mde_at_power": 0.01, + "n_needed_for_margin": 204, + "verdict": "PASS", + "reason": "non_inferior_within_margin" + }, + { + "axis": "knowledge", + "n": 400, + "counts": { + "both_correct": 387, + "ref_only": 0, + "cand_only": 0, + "both_wrong": 13 + }, + "acc_reference": 0.9675, + "acc_candidate": 0.9675, + "regression_d": 0.0, + "d_ci": [ + 0.0, + 0.0 + ], + "d_upper_bound": 0.0, + "p_regression": 1.0, + "p_regression_holm": 1.0, + "p_improvement": 1.0, + "improved": false, + "mde_at_power": null, + "n_needed_for_margin": 204, + "verdict": "PASS", + "reason": "non_inferior_within_margin" + }, + { + "axis": "reasoning", + "n": 400, + "counts": { + "both_correct": 381, + "ref_only": 0, + "cand_only": 0, + "both_wrong": 19 + }, + "acc_reference": 0.9525, + "acc_candidate": 0.9525, + "regression_d": 0.0, + "d_ci": [ + 0.0, + 0.0 + ], + "d_upper_bound": 0.0, + "p_regression": 1.0, + "p_regression_holm": 1.0, + "p_improvement": 1.0, + "improved": false, + "mde_at_power": null, + "n_needed_for_margin": 204, + "verdict": "PASS", + "reason": "non_inferior_within_margin" + } + ], + "params": { + "margin": 0.03, + "alpha": 0.05, + "n_floor": 30, + "power": 0.8, + "n_boot": 4000, + "seed": 0 + } +} \ No newline at end of file diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..bdf7919 --- /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 Qwen, created by Alibaba Cloud. 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 Qwen, created by Alibaba Cloud. You 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..8111401 --- /dev/null +++ b/config.json @@ -0,0 +1,61 @@ +{ + "architectures": [ + "Qwen2ForCausalLM" + ], + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151645, + "hidden_act": "silu", + "hidden_size": 3584, + "initializer_range": 0.02, + "intermediate_size": 18944, + "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" + ], + "max_position_embeddings": 32768, + "max_window_layers": 28, + "model_type": "qwen2", + "num_attention_heads": 28, + "num_hidden_layers": 28, + "num_key_value_heads": 4, + "pad_token_id": null, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "rope_theta": 1000000.0, + "rope_type": "default" + }, + "sliding_window": null, + "tie_word_embeddings": false, + "transformers_version": "5.14.1", + "use_cache": true, + "use_sliding_window": false, + "vocab_size": 152064 +} diff --git a/ektome_report.json b/ektome_report.json new file mode 100644 index 0000000..2f58fc6 --- /dev/null +++ b/ektome_report.json @@ -0,0 +1,8 @@ +{ + "base_compliance": 0.0, + "compliance": 1.0, + "n_harmful": 50, + "compliance_source": "AdvBench harmful_behaviors, judge-free keyword classifier", + "measured_at": "2026-07-27", + "note": "Receipt measured retroactively: the batch pipeline that produced this model did not emit ektome_report.json. Capability (MMLU) is not included here \u2014 see the certificate for the capability claim." +} \ No newline at end of file diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..d99af67 --- /dev/null +++ b/generation_config.json @@ -0,0 +1,14 @@ +{ + "bos_token_id": 151643, + "do_sample": true, + "eos_token_id": [ + 151645, + 151643 + ], + "pad_token_id": 151643, + "repetition_penalty": 1.1, + "temperature": 0.7, + "top_k": 20, + "top_p": 0.8, + "transformers_version": "5.14.1" +} diff --git a/hero.png b/hero.png new file mode 100644 index 0000000..fdee549 --- /dev/null +++ b/hero.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fd6d80fdd0427d418d6f5d18291c9238b3cf11953f5a04b7c91c170f69793931 +size 235934 diff --git a/imatrix.dat b/imatrix.dat new file mode 100644 index 0000000..f6c3710 --- /dev/null +++ b/imatrix.dat @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fb4af0303e94d43d9df16d5876d63c72fd29d56595abbc707af7e8bc7a55fae4 +size 4560352 diff --git a/model.safetensors b/model.safetensors new file mode 100644 index 0000000..1b7d900 --- /dev/null +++ b/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:99efc46139f96c5cd59cbfa0ba140abd63c5e8494b8b174e734a9507010eeb44 +size 15231272152 diff --git a/tokenizer.json b/tokenizer.json new file mode 100644 index 0000000..34510ff --- /dev/null +++ b/tokenizer.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8 +size 11421892 diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..0d88277 --- /dev/null +++ b/tokenizer_config.json @@ -0,0 +1,16 @@ +{ + "add_prefix_space": false, + "backend": "tokenizers", + "bos_token": null, + "clean_up_tokenization_spaces": false, + "eos_token": "<|im_end|>", + "errors": "replace", + "is_local": false, + "local_files_only": false, + "model_max_length": 32768, + "pad_token": "<|endoftext|>", + "split_special_tokens": false, + "tokenizer_class": "Qwen2Tokenizer", + "unk_token": null, + "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\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\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\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\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n\\n' }}\n {{- message.content }}\n {{- '\\n' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n" +} \ No newline at end of file diff --git a/whitepaper.pdf b/whitepaper.pdf new file mode 100644 index 0000000..e47f209 --- /dev/null +++ b/whitepaper.pdf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3696943d43cfc2a27cf9432a8d14f0913559bdfb765f35134b79da9da2a03df7 +size 74748