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Model: percyraskova/MLMLML Source: Original Platform
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.ipynb_checkpoints/README-checkpoint.md
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---
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base_model: unsloth/DeepSeek-R1-0528-Qwen3-8B
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library_name: peft
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pipeline_tag: text-generation
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tags:
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- base_model:adapter:unsloth/DeepSeek-R1-0528-Qwen3-8B
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- grpo
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- lora
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- transformers
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- trl
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- unsloth
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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||||
<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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### Framework versions
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- PEFT 0.18.1
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3
MLMLML-F16.gguf
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3
MLMLML-F16.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:70ff33fc085722c615976bfff43022752d666a939084e8a04a195589ef5fbd5b
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size 16388045376
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3
MLMLML-Q4_K_M.gguf
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MLMLML-Q4_K_M.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:a5311515dbc31aec419a2d621c18e8a14bb3e5a72a02f2a2cc39bc7578a79218
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size 5027785280
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55
Modelfile
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Modelfile
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FROM ./MLMLML-Q4_K_M.gguf
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# System prompt following Chairman Mao's guidance on Marxist-Leninist writing
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SYSTEM """You are a Marxist-Leninist educator. Your writing follows Chairman Mao's guidance in "Oppose Stereotyped Party Writing":
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STYLE: Be vigorous, lively, fresh and forceful. Never drab, never stereotyped. Use language that is rich, vivid, and expressive of real life - the vocabulary of the masses, not abstract formulas.
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AUDIENCE: Always consider who you are writing for. Make your analysis accessible and useful.
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INVESTIGATION: No investigation, no right to speak. Ground all claims in material evidence and concrete analysis. Never rattle on without studying the matter at hand.
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POSITIONS: Take clear positions FOR and AGAINST. Use scientific argument and historical evidence, not intimidation or empty phrases. What is scientific never fears criticism.
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STRUCTURE: Avoid the Chinese pharmacy method - complicated lists and headings that classify by external appearance rather than internal relations. Your task is to analyze contradictions and probe the essence of things, not to inventory phenomena.
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Reject bourgeois framing directly when you encounter it. Provide the context and material analysis that bourgeois sources omit. Think through problems carefully, then provide clear answers."""
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# ChatML template format (Qwen3/DeepSeek-R1) with thinking support
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TEMPLATE """{{- if .System }}<|im_start|>system
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{{ .System }}<|im_end|>
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{{- end }}
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{{- range $i, $_ := .Messages }}
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{{- $last := eq (len (slice $.Messages $i)) 1 }}
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{{- if eq .Role "user" }}<|im_start|>user
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{{ .Content }}<|im_end|>
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{{- else if eq .Role "assistant" }}<|im_start|>assistant
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{{- if .Thinking }}
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<think>
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{{ .Thinking }}
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</think>
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{{- end }}
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{{ .Content }}<|im_end|>
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{{- end }}
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{{- end }}<|im_start|>assistant
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{{- if $.Think }}
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<think>
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{{- else if $.IsThinkSet }}
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<think>
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</think>
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{{- end }}
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"""
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# Stop tokens for ChatML format
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PARAMETER stop "<|im_start|>"
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PARAMETER stop "<|im_end|>"
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PARAMETER stop "<|endoftext|>"
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# Generation parameters
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PARAMETER temperature 0.7
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PARAMETER top_p 0.9
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PARAMETER top_k 40
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PARAMETER repeat_penalty 1.1
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PARAMETER num_ctx 4096
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99
README.md
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README.md
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---
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license: agpl-3.0
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base_model: unsloth/DeepSeek-R1-0528-Qwen3-8B
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tags:
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- marxism-leninism
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- grpo
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- llama-cpp
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- ollama
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- political-education
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- marxism
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- communism
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- political-extremism
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language:
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- en
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pipeline_tag: text-generation
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---
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# MLMLML - Machine Learning Marxist-Leninist Models of Language
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A GRPO fine-tuned language model for Marxist-Leninist political education and analysis.
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## Model Description
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This model is fine-tuned from `unsloth/DeepSeek-R1-0528-Qwen3-8B` using Group Relative Policy Optimization (GRPO)
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on a curated dataset of Marxist-Leninist Q&A pairs from [ProleWiki](https://en.prolewiki.org/).
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The training rewards:
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- **Ideological firmness**: Clear positions grounded in material analysis
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- **Coherence**: Self-consistent, well-structured responses
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- **Accuracy**: Faithful to Marxist-Leninist theory and historical evidence
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The training penalizes:
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- "Both-sidesing" and false balance
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- Hedging and evasive language
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- Bourgeois framing and ahistorical claims
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## Writing Style
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Following Chairman Mao's guidance in "Oppose Stereotyped Party Writing":
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- **Vigorous, lively, fresh and forceful** - never drab or stereotyped
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- **Audience-aware** - "When shooting an arrow, one must aim at the target"
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- **Investigation-based** - "No investigation, no right to speak"
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- **Clear positions** - FOR and AGAINST, using scientific argument
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## Usage
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### Download and Convert to GGUF
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```bash
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# Clone the repo
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git lfs install
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git clone https://huggingface.co/percyraskova/MLMLML
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cd MLMLML
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# Convert to GGUF (requires llama.cpp)
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python ~/llama.cpp/convert_hf_to_gguf.py . --outfile MLMLML-F16.gguf --outtype f16
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# Quantize to Q4_K_M
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~/llama.cpp/build/bin/llama-quantize MLMLML-F16.gguf MLMLML-Q4_K_M.gguf Q4_K_M
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# Create Ollama model
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ollama create mlmlml -f Modelfile
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ollama run mlmlml
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```
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### Direct with Transformers
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained("percyraskova/MLMLML")
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tokenizer = AutoTokenizer.from_pretrained("percyraskova/MLMLML")
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inputs = tokenizer("What is imperialism?", return_tensors="pt")
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outputs = model.generate(**inputs, max_new_tokens=512)
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print(tokenizer.decode(outputs[0]))
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```
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## Training Details
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- **Base model**: unsloth/DeepSeek-R1-0528-Qwen3-8B
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- **Method**: GRPO (Group Relative Policy Optimization)
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- **Dataset**: ProleWiki Q&A pairs (~4500 samples)
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- **Epochs**: 2
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- **Hardware**: NVIDIA A100 80GB
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## Limitations
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This model is designed for educational purposes about Marxist-Leninist theory and analysis.
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It takes clear ideological positions and is not intended to be "neutral" on class struggle,
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imperialism, or other questions where Marxism-Leninism has definite answers.
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## License
|
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Apache 2.0
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## Citation
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If you use this model, please cite ProleWiki as the source of training data.
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adapter_config.json
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adapter_config.json
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{
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"alora_invocation_tokens": null,
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"alpha_pattern": {},
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"arrow_config": null,
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"auto_mapping": {
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"base_model_class": "Qwen3ForCausalLM",
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"parent_library": "transformers.models.qwen3.modeling_qwen3",
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"unsloth_fixed": true
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},
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"base_model_name_or_path": "unsloth/DeepSeek-R1-0528-Qwen3-8B",
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": false,
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
|
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"layers_to_transform": null,
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"loftq_config": {},
|
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"lora_alpha": 32,
|
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"lora_bias": false,
|
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"lora_dropout": 0.0,
|
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"peft_version": "0.18.1",
|
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"qalora_group_size": 16,
|
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"r": 32,
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"rank_pattern": {},
|
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"revision": null,
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"target_modules": [
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"gate_proj",
|
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"down_proj",
|
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"o_proj",
|
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"up_proj",
|
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"v_proj",
|
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"k_proj",
|
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"q_proj"
|
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],
|
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"target_parameters": null,
|
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"task_type": "CAUSAL_LM",
|
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"trainable_token_indices": null,
|
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"use_dora": false,
|
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"use_qalora": false,
|
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"use_rslora": false
|
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}
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3
adapter_model.safetensors
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3
adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:17c6ad9e2305f727376518fdd8b6d34e7ca4a03f080981d79fcc17666f534c7c
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size 174656040
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101
chat_template.jinja
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101
chat_template.jinja
Normal file
@@ -0,0 +1,101 @@
|
||||
{%- if not add_generation_prompt is defined %}
|
||||
{%- set add_generation_prompt = false %}
|
||||
{%- endif %}
|
||||
{%- set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='', is_first_sp=true, is_last_user=false) %}
|
||||
{%- for message in messages %}
|
||||
{%- if message['role'] == 'system' %}
|
||||
{%- if ns.is_first_sp %}
|
||||
{%- set ns.system_prompt = ns.system_prompt + message['content'] %}
|
||||
{%- set ns.is_first_sp = false %}
|
||||
{%- else %}
|
||||
{%- set ns.system_prompt = ns.system_prompt + '\n\n' + message['content'] %}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
|
||||
{#- Adapted from https://github.com/sgl-project/sglang/blob/main/examples/chat_template/tool_chat_template_deepseekr1.jinja #}
|
||||
{%- if tools is defined and tools is not none %}
|
||||
{%- set tool_ns = namespace(text='You are a helpful assistant with tool calling capabilities. ' + 'When a tool call is needed, you MUST use the following format to issue the call:\n' + '<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>FUNCTION_NAME\n' + '```json\n{"param1": "value1", "param2": "value2"}\n```<｜tool▁call▁end｜><｜tool▁calls▁end｜>\n\n' + 'Make sure the JSON is valid.' + '## Tools\n\n### Function\n\nYou have the following functions available:\n\n') %}
|
||||
{%- for tool in tools %}
|
||||
{%- set tool_ns.text = tool_ns.text + '\n```json\n' + (tool | tojson) + '\n```\n' %}
|
||||
{%- endfor %}
|
||||
{%- if ns.system_prompt|length != 0 %}
|
||||
{%- set ns.system_prompt = ns.system_prompt + '\n\n' + tool_ns.text %}
|
||||
{%- else %}
|
||||
{%- set ns.system_prompt = tool_ns.text %}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{{- bos_token }}
|
||||
{{- ns.system_prompt }}
|
||||
{%- set last_index = (messages|length - 1) %}
|
||||
{%- for message in messages %}
|
||||
{%- set content = message['content'] %}
|
||||
{%- if message['role'] == 'user' %}
|
||||
{%- set ns.is_tool = false -%}
|
||||
{%- set ns.is_first = false -%}
|
||||
{%- set ns.is_last_user = true -%}
|
||||
{%- if loop.index0 == last_index %}
|
||||
{{- '<｜User｜>' + content }}
|
||||
{%- else %}
|
||||
{{- '<｜User｜>' + content + '<｜Assistant｜>'}}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- if message['role'] == 'assistant' %}
|
||||
{%- if '</think>' in content %}
|
||||
{%- set content = (content.split('</think>')|last) %}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- if message['role'] == 'assistant' and message['tool_calls'] is defined and message['tool_calls'] is not none %}
|
||||
{%- set ns.is_last_user = false -%}
|
||||
{%- if ns.is_tool %}
|
||||
{{- '<｜tool▁outputs▁end｜>'}}
|
||||
{%- endif %}
|
||||
{%- set ns.is_first = false %}
|
||||
{%- set ns.is_tool = false -%}
|
||||
{%- set ns.is_output_first = true %}
|
||||
{%- for tool in message['tool_calls'] %}
|
||||
{%- set arguments = tool['function']['arguments'] %}
|
||||
{%- if arguments is not string %}
|
||||
{%- set arguments = arguments|tojson %}
|
||||
{%- endif %}
|
||||
{%- if not ns.is_first %}
|
||||
{%- if content is none %}
|
||||
{{- '<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + arguments + '\n' + '```' + '<｜tool▁call▁end｜>'}}
|
||||
}
|
||||
{%- else %}
|
||||
{{- content + '<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + arguments + '\n' + '```' + '<｜tool▁call▁end｜>'}}
|
||||
{%- endif %}
|
||||
{%- set ns.is_first = true -%}
|
||||
{%- else %}
|
||||
{{- '\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + arguments + '\n' + '```' + '<｜tool▁call▁end｜>'}}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{{- '<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}
|
||||
{%- endif %}
|
||||
{%- if message['role'] == 'assistant' and (message['tool_calls'] is not defined or message['tool_calls'] is none) %}
|
||||
{%- set ns.is_last_user = false -%}
|
||||
{%- if ns.is_tool %}
|
||||
{{- '<｜tool▁outputs▁end｜>' + content + '<｜end▁of▁sentence｜>'}}
|
||||
{%- set ns.is_tool = false -%}
|
||||
{%- else %}
|
||||
{{- content + '<｜end▁of▁sentence｜>'}}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- if message['role'] == 'tool' %}
|
||||
{%- set ns.is_last_user = false -%}
|
||||
{%- set ns.is_tool = true -%}
|
||||
{%- if ns.is_output_first %}
|
||||
{{- '<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + content + '<｜tool▁output▁end｜>'}}
|
||||
{%- set ns.is_output_first = false %}
|
||||
{%- else %}
|
||||
{{- '\n<｜tool▁output▁begin｜>' + content + '<｜tool▁output▁end｜>'}}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endfor -%}
|
||||
{%- if ns.is_tool %}
|
||||
{{- '<｜tool▁outputs▁end｜>'}}
|
||||
{%- endif %}
|
||||
{#- if add_generation_prompt and not ns.is_last_user and not ns.is_tool #}
|
||||
{%- if add_generation_prompt and not ns.is_tool %}
|
||||
{{- '<｜Assistant｜>'}}
|
||||
{%- endif %}
|
||||
76
config.json
Normal file
76
config.json
Normal file
@@ -0,0 +1,76 @@
|
||||
{
|
||||
"architectures": [
|
||||
"Qwen3ForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 151643,
|
||||
"dtype": "bfloat16",
|
||||
"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": 131072,
|
||||
"max_window_layers": 36,
|
||||
"model_type": "qwen3",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 36,
|
||||
"num_key_value_heads": 8,
|
||||
"pad_token_id": 151654,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_scaling": {
|
||||
"attn_factor": 0.8782488562869419,
|
||||
"factor": 4.0,
|
||||
"original_max_position_embeddings": 32768,
|
||||
"rope_type": "yarn"
|
||||
},
|
||||
"rope_theta": 1000000,
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": false,
|
||||
"transformers_version": "4.57.3",
|
||||
"unsloth_fixed": true,
|
||||
"unsloth_version": "2026.1.2",
|
||||
"use_cache": true,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 151936
|
||||
}
|
||||
8
generation_config.json
Normal file
8
generation_config.json
Normal file
@@ -0,0 +1,8 @@
|
||||
{
|
||||
"_from_model_config": true,
|
||||
"bos_token_id": 151643,
|
||||
"eos_token_id": 151645,
|
||||
"max_length": 131072,
|
||||
"pad_token_id": 151654,
|
||||
"transformers_version": "4.57.3"
|
||||
}
|
||||
3
model-00001-of-00004.safetensors
Normal file
3
model-00001-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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||||
oid sha256:04773c9cd0f810598c6648e1ffe60f9eee0761dc7fa3757c2b2c4288fe0b17a6
|
||||
size 4902257696
|
||||
3
model-00002-of-00004.safetensors
Normal file
3
model-00002-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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||||
oid sha256:65c82165a6786a62e58398ec7a4e430d6eda110c8094dea42991c10d69dc318f
|
||||
size 4915960368
|
||||
3
model-00003-of-00004.safetensors
Normal file
3
model-00003-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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||||
oid sha256:cb07e03dc8d6588115f8ec4170cb87f8bca5b6771bec9c67ae97b37cef05be07
|
||||
size 4983068496
|
||||
3
model-00004-of-00004.safetensors
Normal file
3
model-00004-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:a2c696f8d6580f9dcfa94d5021a09d17ed8e6e7acad56309adf3d07623c0b97c
|
||||
size 1580230264
|
||||
407
model.safetensors.index.json
Normal file
407
model.safetensors.index.json
Normal file
@@ -0,0 +1,407 @@
|
||||
{
|
||||
"metadata": {
|
||||
"total_parameters": 8190735360,
|
||||
"total_size": 16381470720
|
||||
},
|
||||
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|
||||
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||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151665": {
|
||||
"content": "<tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151666": {
|
||||
"content": "</tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151667": {
|
||||
"content": "<think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151668": {
|
||||
"content": "</think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151669": {
|
||||
"content": "<｜User｜>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151670": {
|
||||
"content": "<｜Assistant｜>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"bos_token": "<｜begin▁of▁sentence｜>",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<｜end▁of▁sentence｜>",
|
||||
"extra_special_tokens": {},
|
||||
"legacy": true,
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|vision_pad|>",
|
||||
"padding_side": "left",
|
||||
"sp_model_kwargs": {},
|
||||
"tokenizer_class": "LlamaTokenizerFast",
|
||||
"unk_token": null,
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
Reference in New Issue
Block a user